Alle Papers – KI in der Krebserkennung

Bi-Modal Transfer Learning for Classifying Breast Cancers via Combined B-Mode and Ultrasound Strain Imaging

Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis

Developing image analysis methods for digital pathology

A practical technique for the localization of the tumor volume in definitive irradiation of the breast

Mammographic detectability of breast microcalcifications

Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detection

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images

MDFNet: application of multimodal fusion method based on skin image and clinical data to skin cancer classification

LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation

Current state of whole slide imaging use in cytopathology: Pros and pitfalls

Multi-class Segmentation of Organ at Risk from Abdominal CT Images: A Deep Learning Approach

Demystifying artificial intelligence and deep learning in dentistry

Accurate Evaluation of Palpable Breast Masses by the Triple Test Score

Artificial Intelligence, Radiology, and Tuberculosis: A Review

A Transfer Learning-Based Approach with Deep CNN for COVID-19- and Pneumonia-Affected Chest X-ray Image Classification

Twelve key challenges in medical machine learning and solutions

Classification for thyroid nodule using ViT with contrastive learning in ultrasound images

Optimizing Clinical Workflow Using Precision Medicine and Advanced Data Analytics

Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification

RETRACTED ARTICLE: Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network

Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning

Lung tumor segmentation algorithm

3D skeletonization feature based computer-aided detection system for pulmonary nodules in CT datasets

Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms

Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints