Alle Papers – KI in der Krebserkennung

Breast cancer classification using deep learned features boosted with handcrafted features

A Computer-Aided Detection System for the Evaluation of Breast Cancer by Mammographic Appearance and Lesion Size

Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature

Mapping Driver Mutations to Histopathological Subtypes in Papillary Thyroid Carcinoma: Applying a Deep Convolutional Neural Network

An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images

Evaluating the HER-2 status of breast cancer using mammography radiomics features

Artificial intelligence and lung cancer treatment decision: agreement with recommendation of multidisciplinary tumor board

Deep Learning Predicts Underlying Features on Pathology Images with Therapeutic Relevance for Breast and Gastric Cancer

Use of and beliefs about total body photography and dermatoscopy among US dermatology training programs: An update

Human-Machine Collaboration for Medical Image Segmentation

Random forest dissimilarity based multi-view learning for Radiomics application

PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images

An automatic Computer-Aided Diagnosis system based on the Multimodal fusion of Breast Cancer (MF-CAD)

Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling

A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects

Knowledge, attitude, practice towards breast self-examination and associated factors among women in Gondar town, Northwest Ethiopia, 2021: a community-based study

Heart Diagnosis Using Deep Neural Network

An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays

Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment

Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

Deep learning-based approach for detecting COVID-19 in chest X-rays

Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images

Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI

Computer-aided diagnosis in chest radiology