Alle Papers – KI in der Krebserkennung

Association between mammographic parenchymal pattern classification and incidence of breast cancer

Texture detection of simulated microcalcification susceptibility effects in magnetic resonance imaging of breasts

The utility of color normalization for <scp>AI</scp>‐based diagnosis of hematoxylin and eosin‐stained pathology images

Relationship of Mammographic Density and Gene Expression: Analysis of Normal Breast Tissue Surrounding Breast Cancer

Hyperspectral Imaging and K-Means Classification for Histologic Evaluation of Ductal Carcinoma In Situ

Knowledge and perception of primary care healthcare professionals on the use of artificial intelligence as a healthcare tool

Cancers Screening in an Asymptomatic Population by Using Multiple Tumour Markers

Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review

CT-Based Radiomics Signature for the Preoperative Discrimination Between Head and Neck Squamous Cell Carcinoma Grades

A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine

Deep Metric Learning for Cervical Image Classification

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images

Classification Prediction of SBRCTs Cancers Using Artificial Neural Network

Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model

Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks

Ultrasound demonstration of small breast cancers detected by mammographic screening

A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning

Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks

An automatic algorithm for the segmentation and morphological analysis of microvessels in immunostained histological tumour sections

Content-based histopathology image retrieval using a kernel-based semantic annotation framework

Unsupervised brain tumor segmentation using a symmetric-driven adversarial network

BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis

Computer-aided Prostate Cancer Detection using Texture Features and Clinical Features in Ultrasound Image

Machine learning in computational histopathology: Challenges and opportunities

Traditional microscopy instruction versus process-oriented virtual microscopy instruction: a naturalistic experiment with control group