Alle Papers – KI in der Krebserkennung

Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors

Towards a computer-aided diagnosis system for pigmented skin lesions

Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images

Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs

Computerized lesion detection on breast ultrasound

Using RNN Artificial Neural Network to Predict the Occurrence of Gastric Cancer in the Future of the World

Classification of ultrasonic B-mode images of breast masses using Nakagami distribution

Purity Independent Subtyping of Tumors (PurIST), A Clinically Robust, Single-sample Classifier for Tumor Subtyping in Pancreatic Cancer

Patterns of detection in patients with cutaneous melanoma

Volumetric breast density estimation from full-field digital mammograms

Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms

Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques

A combined neural network and decision trees model for prognosis of breast cancer relapse

Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network

Adversarial Stain Transfer for Histopathology Image Analysis

Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes

Journey toward Computer-aided Diagnosis: Role of Image Texture Analysis

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

Validation of digital pathology imaging for primary histopathological diagnosis

RETRACTED ARTICLE: Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence

A Novel Breast Tissue Density Classification Methodology

Visual scanning patterns of radiologists searching mammograms

Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set