Alle Papers – KI in der Krebserkennung

Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks

Scalable system for classification of white blood cells from Leishman stained blood stain images

A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification

Radiologists can detect the ‘gist’ of breast cancer before any overt signs of cancer appear

UCFN Net: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating

IDENTIFICATION AND CLASSIFICATION OF CANCER CELLS USING CAPSULE NETWORK WITH PATHOLOGICAL IMAGES

A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT

Normalization of HE-stained histological images using cycle consistent generative adversarial networks

Mutual information based registration of medical images

Changes and tracking of mammographic density in relation to Pike's model of breast tissue aging: a UK longitudinal study

Computer-aided gleason grading of prostate cancer histopathological images using texton forests

Whole slide images as a platform for initial diagnostics in histopathology in a medium-sized routine laboratory

Comparison of urine specimen collection times and testing fractions for the detection of high-risk human papillomavirus and high-grade cervical precancer

HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

A fully automated system for screening xeromammograms

Applying unmixing to gene expression data for tumor phylogeny inference

Applications of Machine Learning in Cancer Prediction and Prognosis

On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection

Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis

Mammographic image classification with deep fusion learning

False-positive reduction technique for detection of masses on digital mammograms: Global and local multiresolution texture analysis

Recent computational methods for white blood cell nuclei segmentation: A comparative study

Breast carcinoma in young females below the age of 40 years: A histopathological perspective

SDCT-AuxNet : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis

Computer-aided detection of breast cancer nuclei