Alle Papers – KI in der Krebserkennung

Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest

Virchow: A Million-Slide Digital Pathology Foundation Model

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences

Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care

Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading

Mammography Surveillance Following Breast Cancer

BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells

A New Computer‐Aided Diagnosis System with Modified Genetic Feature Selection for BI‐RADS Classification of Breast Masses in Mammograms

Local energy-based shape histogram feature extraction technique for breast cancer diagnosis

Lung and colon cancer detection with convolutional neural networks on histopathological images

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers

Solid Breast Masses: Classification with Computer-aided Analysis of Continuous US Images Obtained with Probe Compression

Radiomics Evaluation of Histological Heterogeneity Using Multiscale Textures Derived From 3D Wavelet Transformation of Multispectral Images

A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model

A review: The detection of cancer cells in histopathology based on machine vision

Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations

Ultrasound-Based Radiomics Analysis for Predicting Disease-Free Survival of Invasive Breast Cancer

Digital Breast Tomosynthesis: Observer Performance of Clustered Microcalcification Detection on Breast Phantom Images Acquired with an Experimental System Using Variable Scan Angles, Angular Increments, and Number of Projection Views

A DenseNet CNN-based liver lesion prediction and classification for future medical diagnosis

Brain MRI segmentation with patch-based CNN approach

Reconciliation of diverse telepathology system designs. Historic issues and implications for emerging markets and new applications

Automated Breast Cancer Detection and Classification in Full Field Digital Mammograms Using Two Full and Cropped Detection Paths Approach

Diagnosis of Breast Cancer Using Random Forests

User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP