Alle Papers – KI in der Krebserkennung

Deep Learning–Based Methods for Automatic Diagnosis of Skin Lesions

Simulation model of mammographic calcifications based on the american college of radiology breast imaging reporting and data system, or BIRADS

Classifier design for computer‐aided diagnosis: Effects of finite sample size on the mean performance of classical and neural network classifiers

Machine Learning and Its Application in Skin Cancer

Computed-aided diagnosis (CAD) in the detection of breast cancer

Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans

Robust midsagittal plane extraction from normal and pathological 3-D neuroradiology images

Novel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)

Artificial Intelligence Algorithm with SVM Classification using Dermascopic Images for Melanoma Diagnosis

An artificial intelligent algorithm for tumor detection in screening mammogram

Artificial Intelligence and Early Detection of Pancreatic Cancer

Transfusion: Understanding Transfer Learning for Medical Imaging

Improved Polyester Wax Embedding for Histology

Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection

A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification

Hierarchical attention networks for information extraction from cancer pathology reports

Deep transfer with minority data augmentation for imbalanced breast cancer dataset

Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis

An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images

AdaGAN: Boosting Generative Models

Melanoma Computer-Aided Diagnosis

Telepathology: A ten-year progress report

Deep Learning Based Detection of Dermatological Diseases Using Convolutional Neural Networks and Decision Trees

Effect of case selection on the performance of computer‐aided detection schemes

Sentinel node biopsy and standard of care for melanoma