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Alle Papers – KI in der Krebserkennung

172.746 Papers insgesamt · Seite 88 von 400

2176.

Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes

2019·167 Zit.·SLAS DISCOVERYOA
2177.

DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets

2021·167 Zit.
2178.

Epidemiology of pre‐invasive and invasive malignant melanoma in Western Australia

1980·167 Zit.·International Journal of Cancer
2179.

Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration

2019·167 Zit.·JAMA Ophthalmology
2180.

Segmentation and Classification of Cervical Cells Using Deep Learning

2019·167 Zit.·IEEE AccessOA
2181.

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

2022·167 Zit.·Frontiers in OncologyOA
2182.

Functional infrared imaging of the breast

2000·167 Zit.·IEEE Engineering in Medicine and Biology Magazine
2183.

Accuracy of reading liquid based cytology slides using the ThinPrep Imager compared with conventional cytology: prospective study

2007·167 Zit.·BMJOA
2184.

Multi-View Feature Fusion Based Four Views Model for Mammogram Classification Using Convolutional Neural Network

2019·167 Zit.·IEEE AccessOA
2185.

Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: The Oslo Tomosynthesis Screening Trial

2019·167 Zit.·Radiology
2186.

Object oriented data analysis: Sets of trees

2007·167 Zit.·The Annals of StatisticsOA
2187.

Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach

2020·167 Zit.·Journal of Healthcare EngineeringOA
2188.

An Efficient CNN Model for COVID‐19 Disease Detection Based on X‐Ray Image Classification

2021·167 Zit.·ComplexityOA
2189.

Automated computerized classification of malignant and benign masses on digitized mammograms

1998·167 Zit.·Academic Radiology
2190.

UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation

2020·167 Zit.·TELKOMNIKA (Telecommunication Computing Electronics and Control)OA
2191.

Assisted Primary Screening Using the Automated ThinPrep Imaging System

2005·166 Zit.·American Journal of Clinical PathologyOA
2192.

Artificial Intelligence in Dermatology: Challenges and Perspectives

2022·166 Zit.·Dermatology and TherapyOA
2193.

Enhanced Interpretation of Diagnostic Images

1988·166 Zit.·Investigative Radiology
2194.

Introduction to the Non-rigid Image Registration Evaluation Project (NIREP)

2006·166 Zit.·Lecture notes in computer science
2195.

Intralesional immunotherapy of common warts: successful treatment with mumps, measles and rubella vaccine

2010·166 Zit.·Journal of the European Academy of Dermatology and Venereology
2196.

A Novel Approach for Breast Cancer Detection Using Data Mining Techniques

2017·166 Zit.·SSRN Electronic JournalOA
2197.

BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights

2019·166 Zit.·Neurocomputing
2198.

Whole-Slide Imaging and Automated Image Analysis

2013·166 Zit.·Veterinary Pathology
2199.

The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia

2004·166 Zit.·Human Pathology
2200.

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

2019·166 Zit.·World Journal of Surgical OncologyOA