Alle Papers – KI in der Krebserkennung

Multi-Level Seg-Unet Model with Global and Patch-Based X-ray Images for Knee Bone Tumor Detection

Integration and acceleration of virtual microscopy as the key to successful implementation into the routine diagnostic process

Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics

Dilated densely connected U-Net with uncertainty focus loss for 3D ABUS mass segmentation

Few-shot classification of ultrasound breast cancer images using meta-learning algorithms

Breast cancer classification based on hybrid CNN with LSTM model

An Inductive Learning Approach to Prognostic Prediction

Fundamentals of Biomedical Image Processing

Computer-aided classification of suspicious pigmented lesions using wide-field images

Stimulated Raman histology for rapid and accurate intraoperative diagnosis of CNS tumors: prospective blinded study

Deep multimodal learning for lymph node metastasis prediction of primary thyroid cancer

Expertise under the microscope: processing histopathological slides

SkinNet-16: A deep learning approach to identify benign and malignant skin lesions

Human breast duct anatomy, the ‘sick lobe’ hypothesis and intraductal approaches to breast cancer

Computer-aided detection mammography for breast cancer screening: systematic review and meta-analysis

RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation

A Review on Automatic Mammographic Density and Parenchymal Segmentation

White Blood Cell Segmentation for Acute Leukemia Bone Marrow Images

Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches

HCCANet: histopathological image grading of colorectal cancer using CNN based on multichannel fusion attention mechanism

Quantitative and Qualitative Analysis of 18 Deep Convolutional Neural Network (CNN) Models with Transfer Learning to Diagnose COVID-19 on Chest X-Ray (CXR) Images

Medical image processing: A review

Extraction of breast border and removal of pectoral muscle in wavelet domain

Canadian Licensure for the Use of Digital Pathology for Routine Diagnoses: One More Step Toward a New Era of Pathology Practice Without Borders

Multiplanar Reconstructions of 3D Automated Breast Ultrasound Improve Lesion Differentiation by Radiologists