Alle Papers – KI in der Krebserkennung

Early diagnosis of Alzheimer's disease with deep learning

Deep learning in medical image registration: a survey

Active shape model segmentation with optimal features

An Update of the Gleason Grading System

GAIN: Missing Data Imputation using Generative Adversarial Nets

Artificial Intelligence and Digital Pathology: Challenges and Opportunities

Detecting Cancer Metastases on Gigapixel Pathology Images

A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution

A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images

Medical Image Processing, Analysis and Visualization in clinical research

The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset

A Multi-Organ Nucleus Segmentation Challenge

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Texture Analysis Methods - A Review

Deep learning based detection and analysis of COVID-19 on chest X-ray images

Deep Learning in Image Classification using Residual Network (ResNet) Variants for Detection of Colorectal Cancer

Computer-aided diagnosis in chest radiography: a survey

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification

Highlights of 30 Annual Conference of Association of Medical Physicists of India (AMPICON-2009).

Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

DCAN: Deep contour-aware networks for object instance segmentation from histology images

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques