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Alle Papers – KI in der Krebserkennung

168.271 Papers insgesamt · Seite 336 von 400

8376.

International Clinical Guidelines for the Adoption of Digital Pathology: A Review of Technical Aspects

2016·61 Zit.·PathobiologyOA
8377.

Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review

2021·61 Zit.·Multimedia Tools and ApplicationsOA
8378.

Artificial neural networks applied to cancer detection in a breast screening programme

2010·61 Zit.·Mathematical and Computer ModellingOA
8379.

Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types

2020·61 Zit.·Scientific DataOA
8380.

The Effect of Quality Control on Accuracy of Digital Pathology Image Analysis

2020·61 Zit.·IEEE Journal of Biomedical and Health Informatics
8381.

OESV-KRF: Optimal ensemble support vector kernel random forest based early detection and classification of skin diseases

2023·61 Zit.·Biomedical Signal Processing and Control
8382.

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model

2016·61 Zit.·PLoS ONEOA
8383.

Breast Cancer Classification and Prediction using Machine Learning

2020·61 Zit.·International Journal of Engineering Research andOA
8384.

Liver tumor segmentation in CT volumes using an adversarial densely connected network

2019·61 Zit.·BMC BioinformaticsOA
8385.

Should a Gleason Score Be Assigned to a Minute Focus of Carcinoma on Prostate Biopsy?

2000·61 Zit.·The American Journal of Surgical Pathology
8386.

A comprehensive survey on image-based computer aided diagnosis systems for skin cancer

2016·61 Zit.
8387.

MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images

2022·61 Zit.·Computers in Biology and Medicine
8388.

Comparison of Pathologist-Detected and Automated Computer-Assisted Image Analysis Detected Sentinel Lymph Node Micrometastases in Breast Cancer

2003·61 Zit.·Modern PathologyOA
8389.

Detection of simulated osteoporosis in maxillae using radiographic texture analysis

1996·61 Zit.·IEEE Transactions on Biomedical Engineering
8390.

Machine Learning Enabled Early Detection of Breast Cancer by Structural Analysis of Mammograms

2021·61 Zit.·Computers, materials & continua/Computers, materials & continua (Print)OA
8391.

Attention-Based DenseUnet Network With Adversarial Training for Skin Lesion Segmentation

2019·61 Zit.·IEEE AccessOA
8392.

Atlas stratification

2007·61 Zit.·Medical Image AnalysisOA
8393.

Comparison of standard and double reading and computer-aided detection (CAD) of interval cancers at prior negative screening mammograms: blind review

2003·61 Zit.·British Journal of CancerOA
8394.

Can histology and pathology be taught without microscopes? The advantages and disadvantages of virtual histology

2008·61 Zit.·Acta Histochemica
8395.

Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques

2022·61 Zit.·Journal of Circuits Systems and Computers
8396.

Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

2022·61 Zit.·Modern PathologyOA
8397.

Age and race related changes in mammographic parenchymal patterns

1989·61 Zit.·Cancer
8398.

Validation of a whole slide imaging system for primary diagnosis in surgical pathology: A community hospital experience

2014·61 Zit.·Journal of Pathology InformaticsOA
8399.

Teledermatopathology: A Controlled Study About Diagnostic Validity and Technical Requirements for Digital Transmission

2006·61 Zit.·American Journal of Dermatopathology
8400.

Heterogeneity of the Effect of Family History on Breast Cancer Risk

1991·61 Zit.·Epidemiology