Alle Papers – KI in der Krebserkennung

Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey

DM-CNN: Dynamic Multi-scale Convolutional Neural Network with uncertainty quantification for medical image classification

Instance-Aware Self-supervised Learning for Nuclei Segmentation

A Skull-Stripping Filter for ITK

A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images

Automated analysis and classification of melanocytic tumor on skin whole slide images

A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification

COVID-19 prediction based on hybrid Inception V3 with VGG16 using chest X-ray images

Breast Volumetry Using a Three-Dimensional Surface Assessment Technique

Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection

Lung cancer prediction from microarray data by gene expression programming

A model‐based framework for the detection of spiculated masses on mammographya)

Automatic Diagnosis of Melanoma: A Software System Based on the 7-Point Check-List

Segmentation of ultrasonic images using Support Vector Machines

A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types classification

Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images

PyDiNet: Pyramid Dilated Network for medical image segmentation

Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports

An Interpretable Deep Learning Model for Covid-19 Detection With Chest <i>X</i>-Ray Images

Ovarian Tumor Characterization and Classification Using Ultrasound—A New Online Paradigm

Design of a high-sensitivity classifier based on a genetic algorithm: application to computer-aided diagnosis

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering

Automated TB classification using ensemble of deep architectures

Favourable prognostic role of regression of primary melanoma in AJCC stage I-II patients

How AI is improving cancer diagnostics