Alle Papers – KI in der Krebserkennung

Parallel Approach for Diagnosis of Breast Cancer using Neural Network Technique

Fusion of transfer learning models with LSTM for detection of breast cancer using ultrasound images

Digital Mammography Stereotactic Biopsy versus Digital Breast Tomosynthesis–guided Biopsy: Differences in Biopsy Targets, Pathologic Results, and Discordance Rates

CANCER CLASSIFICATION BASED ON MICROARRAY GENE EXPRESSION DATA USING DCT AND ANN

Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis

Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images

A Review on Color Normalization and Color Deconvolution Methods in Histopathology

Three-Dimensional Reconstructions of Objects from Serial Sections Using a Microcomputer Graphics System

Interobserver reproducibility and accuracy of p16/<scp>K</scp>i‐67 dual‐stain cytology in cervical cancer screening

Stereotactic breast biopsy: its history, its present, and its future.

Automatic view recognition in echocardiogram videos using parts-based representation

Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders

Texture-based features for classification of mammograms using decision tree

Automated classification of polyps using deep learning architectures and few-shot learning

Cancer diagnosis through a tandem of classifiers for digitized histopathological slides

Breast Cancer Classification using Capsule Network with Preprocessed Histology Images

A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification

A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images

Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&amp;E-stained cytological images

Fully Automatic Segmentations of Liver and Hepatic Tumors From 3-D Computed Tomography Abdominal Images: Comparative Evaluation of Two Automatic Methods

A conceptual history of cancer.

Comparison of Statistical, LBP, and Multi-Resolution Analysis Features for Breast Mass Classification

Sex steroids, growth factors and mammographic density: a cross-sectional study of UK postmenopausal Caucasian and Afro-Caribbean women

3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities

Automatic disease stage classification of glioblastoma multiforme histopathological images using deep convolutional neural network