Topic 131

images image accuracy deep slide learning classification convolutional training segmentation histopathology diagnosis cancer auc trained detection whole pathology wsi algorithm neural clinical histological accurate based histopathological method automated network slides automatically pixels pathologists pixel stained patients features tissue eosin performance hematoxylin diagnostic area accurately cnn methods automatic manual proposed predicting sections machine prognosis using tumor tcga biopsy curve classify obtained digital high wsis algorithms score respectively 92 validation segmented classifier net achieved detect 95 89 88 extraction models imaging 96 receiver 94 histology 98 set atlas dataset average testing approach 97 develop 91 02 texture test predict glioma roc computer

75 items. Top items listed below.

A deep learning approach for tissue spatial quantification and genomic correlations of histopathological images 131 26 9 4

Image-based patch selection for deep learning to improve automated Gleason grading in histopathological slides 131 26 4

A Deep Learning Approach for Rapid Mutational Screening in Melanoma 131 26 4

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images 131 26 4

Deep learning approach for automated cancer detection and tumor proportion score estimation of PD-L1 expression in lung adenocarcinoma 131 7 4

Predicting Endometrial Cancer Subtypes and Molecular Features from Histopathology Images Using Multi-resolution Deep Learning Models 131 26 4

Predicting molecular subtypes of breast cancer using pathological images by deep convolutional neural network from public dataset 131 26 4

Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer 131 26 4

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images 131 26 4

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence 131 26 4


Predicting and Visualizing STK11 Mutation in Lung Adenocarcinoma Histopathology Slides Using Deep Learning 131 26 14 4

A Novel Fully Automated MRI-Based Deep Learning Method For Classification Of 1p/19q Co-Deletion Status In Brain Gliomas 131 59 26 4

Spatial Transcriptomics Inferred from Pathology Whole-Slide Images Links Tumor Heterogeneity to Survival in Breast and Lung Cancer 131 26 4

Deep Learning for Alzheimer's Disease: Mapping Large-scale Histological Tau Protein for Neuroimaging Biomarker Validation 131 26 4 2

COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model 131 35 26 4

Synthesis of diagnostic quality cancer pathology images 131 26 4

Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-Sized NCI Cancer Center 131 26 4

Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks 131 26 4

Deep transfer learning approach to predict tumor mutation burden (TMB) and delineate spatial heterogeneity of TMB within tumors from whole slide images 131 105 26 13 4

Fully Automated Detection of Paramagnetic Rims in Multiple Sclerosis Lesions on 3T Susceptibility-Based MR Imaging 131 59 26 15 4

Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis 131 26 4

A simple model for glioma grading based on texture analysis applied to conventional brain MRI 131 59 26 15 4

Aggregation of Cohorts for Histopathological Diagnosis with Deep Morphological Analysis 26 4

A transferrable and interpretable multiple instance learning model for microsatellite instability prediction based on histopathology images 131 26 4

Automatic Traits Extraction and Fitting for Field High-throughput Phenotyping Systems 131 26 4

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning 131 7 4

A convolutional neural network for common coordinate registration of high-resolution histology images 26 4

Deep Texture Representations as a Universal Encoder for Pan-cancer Histology 131 26 4

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning 131 26 4

A light trap and computer vision system to detect and classify live moths (Lepidoptera) using tracking and deep learning 131 26 4

Morphologic Classification and Automatic Diagnosis of Bacterial Vaginosisby Deep Neural Networks 131 26 15 4

Predicting tumour mutational burden from histopathological images using multiscale deep learning 131 26 4

Identification of immunological features enables survival prediction of muscle-invasive bladder cancer patients using machine learning 131 26 4

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction 131 26 4

A Deep Learning Framework for Predicting Human Essential Genes by Integrating Sequence and Functional data 105 26 4

Convolutional Neural Networks for ClassifyingMelanoma Images 131 26 4

Location Invariant Animal Recognition UsingMixed Source Datasets and Deep Learning 131 26 4

Towards More Reliable Unsupervised Tissue Segmentation Via Integrating Mass Spectrometry Imaging and Hematoxylin-Erosin Stained Histopathological Image 131 26 4

Semantic Segmentation of HeLa Cells: An Objective Comparison between one Traditional Algorithm and Three Deep-Learning Architectures 131 26 18 4

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network 131 59 4

Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images 131 26 4

HistoFlow: Label-Efficient and Interactive Deep Learning Cell Analysis 26 4

Automatic Three-Dimensional Reconstruction of Fascicles in Peripheral Nerves from Histological Images 131 59 26 4

Estimation of cellularity in tumours treated with Neoadjuvant therapy: A comparison of Machine Learning algorithms 131 26 4

Using very high-resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes 131 26 4

In situ classification of cell types in human kidney tissue using 3D nuclear staining 26 4

Segmentation boosting with compensation methods in optical coherence tomography angiography images 131 59 26 18 4

Size and mass prediction of almond kernels using machine learning image processing 131 26 4

A deep learning approach for staging embryonic tissue isolates with small data 26 4

PathFlow-MixMatch for Whole Slide Image Registration: An Investigation of a Segment-Based Scalable Image Registration Method 131 59 4

A Large-Scale Internal Validation Study of Unsupervised Virtual Trichrome Staining Technologies on Non-alcoholic Steatohepatitis Liver Biopsies 131 15

GAN-based anomaly detection in multi-modal MRI images 131 26 4

RootNet: A Convolutional Neural Networks for Complex Plant Root Phenotyping from High-Definition Datasets 26 4

Red blood cell classification using image processingand CNN 131 26 4

Imputing missing RNA-seq data from DNA methylation by using transfer learning based-deep neural network 105 26 4

Deep Feature Extraction for Resting-State Functional MRI by Self-Supervised Learning and Application to Schizophrenia Diagnosis 26 22 2

Deep Learning Based Segmentation of Brain Tissue from Diffusion MRI 59 26 4 2

ACDC: Automated Cell Detection and Counting for Time-lapse Fluorescence Microscopy 131 26 4

Skin Lesions Classification Using Deep Learning Based on Dilated Convolution 131 26 4

Deep learning-based adaptive detection of fetal nucleated red blood cells 131 26 4

Precise automatic classification of 46 different pollen types with convolutional neural networks 131 26 4

Towards CNN Representations for Small Mass Spectrometry Data Classification: From Transfer Learning to Cumulative Learning 26 4

Identifying Genomic Islands with Deep Neural Networks 26 4

Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology 131 59 26 14 4

Morphological estimation of Cellularity on Neo-adjuvant treated breast cancer histological images 131 59 15 4

Deep learning-based molecular morphometrics for kidney biopsies 131 26 18

Automated Classification of Bacterial Cell Sub-Populations with Convolutional Neural Networks. 26 4

Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media 131 26 4

DeepHE: Accurately Predicting Human Essential Genes based on Deep Learning 105 26 13 4

Fully unsupervised deep mode of action learning for phenotyping high-content cellular images 26 4

A Brain Imaging-Based Deep Learning Classifier for Sex and Alzheimer's Disease 26 22 4 2

Automated identification of multinucleated germ cells with U-Net 131 26 4

Non-Invasive Single-Cell Morphometry in Living Bacterial Biofilms 26 18 4

Interfruit : Deep Learning Network for Classifying Fruit Images 26 4

AIDeveloper: deep learning image classification in life science and beyond 176 26 4

Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images 131 26 4

Channel Embedding for Informative Protein Identification from Highly Multiplexed Images 26 4

Annotating Gene Ontology terms for protein sequences with the Transformer model 105 26 4

An Ensemble Learning Approach for Cancer Drug Prediction 112 26 4

Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation 26 4

A novel method for classification of tabular data using convolutional neural networks 26 4

Single-axon level automatic segmentation and feature extraction from immuhistochemical images of peripheral nerves 131 59 26 4

EM-net: Deep learning for electron microscopy image segmentation 26 4

Cell segmentation using deep learning: comparing label and label-free approaches using hyper-labeled image stacks 26 18 4

A transfer-learning approach for first-year developmental infant brain segmentation using deep neural networks 26 22 2

Related Topics of a Novel TCR-based Cancer Detection Approach 26 4

Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2 26 4

An AI-powered blood test to detect cancer using nanoDSF 131 26 4

Transferability of Brain decoding using GraphConvolutional Networks 100 26 22 2

Pixel-based machine learning and image reconstitution for dot-ELISA pathogen serodiagnosis 131 26 4

Improved Prediction of Smoking Status via Isoform-Aware RNA-seq Deep Learning Models 26 4

Functional assessments of PTEN variants using machine-assisted phenotype scoring 26 4

Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology 112 26 4

A deep learning framework for characterization of genotype data 26 4

VISTA: Virtual ImmunoSTAining for pancreatic disease quantification in murine cohorts 131 26 4

Wide and Deep Learning for Automatic Cell Type Identification 26 4

AnnotatorJ: an ImageJ plugin to ease hand-annotation of cellular compartments 26 4

Classification and Generation of MicroscopyImages with Plasmodium Falciparum via ArtificialNeural Networks 26 4

Quantitative comparison of Drosophila behavior annotations by human observers and a machine learning algorithm 26 7 4 2