Alle Papers – KI in der Krebserkennung

Atlas-Based Segmentation of Pathological MR Brain Images Using a Model of Lesion Growth

Optimization of Initial Prostate Biopsy in Clinical Practice: Sampling, Labeling and Specimen Processing

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides

The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review

Large language model (ChatGPT) as a support tool for breast tumor board

A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

Detection of Subtle Lung Nodules: Relative Influence of Quantum and Anatomic Noise on Chest Radiographs

Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density

Research and Application of Deep Learning in Image Recognition

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey

INTRODUCTION TO IMAGE PROCESSING

Skin lesion image segmentation using Delaunay Triangulation for melanoma detection

Breast cancer detection based on thermographic images using machine learning and deep learning algorithms

Computerized diagnosis of breast lesions on ultrasound

A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment

Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

Improved breast cancer histological grading using deep learning

Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach

A novel approach to microcalcification detection using fuzzy logic technique

Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis

Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation

A fully-automated deep learning pipeline for cervical cancer classification