Alle Papers – KI in der Krebserkennung

A CAD system for diagnosing Alzheimer’s disease using 2D slices and an improved AlexNet-SVM method

Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking Technique

An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data

Classification and Retrieval of Digital Pathology Scans: A New Dataset

Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data

Incremental effect from integrating 3D-mammography (tomosynthesis) with 2D-mammography: Increased breast cancer detection evident for screening centres in a population-based trial

An Open-Source Whole Slide Image Registration Workflow at Cellular Precision Using Fiji, QuPath and Elastix

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound

Optimal deep learning neural network using ISSA for diagnosing the oral cancer

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

Hyperspectral pathology image classification using dimension-driven multi-path attention residual network

Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review

Challenges Facing the Detection of Colonic Polyps: What Can Deep Learning Do?

Artificial intelligence in neurosciences: A clinician's perspective

Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data

Deep learning to automate the labelling of head MRI datasets for computer vision applications

A Comparative Study for Classification of Skin Cancer

Less false‐negative sentinel node procedures in melanoma patients with experience and proper collaboration

Deep Learning for Two-Step Classification of Malignant Pigmented Skin Lesions

Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images

Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour

LAEDNet: A Lightweight Attention Encoder–Decoder Network for ultrasound medical image segmentation

X-MIR: EXplainable Medical Image Retrieval

Cervical cancer detection and classification using Independent Level sets and multi SVMs