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Alle Papers – KI in der Krebserkennung

168.310 Papers insgesamt · Seite 19 von 400

451.

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

2020·450 Zit.·Chaos Solitons & FractalsOA
452.

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

2018·450 Zit.·arXiv (Cornell University)OA
453.

An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

2020·450 Zit.·Clinical eHealthOA
454.

Deep Learning in Microscopy Image Analysis: A Survey

2017·449 Zit.·IEEE Transactions on Neural Networks and Learning Systems
455.

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

2020·448 Zit.·IEEE AccessOA
456.

Human observer detection experiments with mammograms and power‐law noise

2001·448 Zit.·Medical Physics
457.

Applying watershed algorithms to the segmentation of clustered nuclei

1998·448 Zit.·CytometryOA
458.

Machine learning: applications of artificial intelligence to imaging and diagnosis

2018·447 Zit.·Biophysical ReviewsOA
459.

Application of Artificial Intelligence in Dentistry

2020·447 Zit.·Journal of Dental Research
460.

A Review on a Deep Learning Perspective in Brain Cancer Classification

2019·445 Zit.·CancersOA
461.

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation

2019·445 Zit.
462.

CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support

2020·444 Zit.·IEEE/ACM Transactions on Computational Biology and Bioinformatics
463.

Discordance in the histopathologic diagnosis of melanoma and melanocytic nevi between expert pathologists

1996·442 Zit.·Human Pathology
464.

A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework

2021·441 Zit.·SensorsOA
465.

Convolutional neural network improvement for breast cancer classification

2018·441 Zit.·Expert Systems with Applications
466.

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease

2017·441 Zit.·IEEE Journal of Biomedical and Health Informatics
467.

Sentinel Lymph Node Biopsy vs No Axillary Surgery in Patients With Small Breast Cancer and Negative Results on Ultrasonography of Axillary Lymph Nodes

2023·440 Zit.·JAMA OncologyOA
468.

Medical image retrieval using deep convolutional neural network

2017·440 Zit.·NeurocomputingOA
469.

Screening for Cutaneous Melanoma by Skin Self-Examination

1996·439 Zit.·JNCI Journal of the National Cancer InstituteOA
470.

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

2020·438 Zit.·arXiv (Cornell University)OA
471.

Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network

2017·438 Zit.·IEEE Transactions on Big Data
472.

Improved Random Forest for Classification

2018·438 Zit.·IEEE Transactions on Image Processing
473.

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

2016·437 Zit.·IEEE Transactions on Medical Imaging
474.

The Art and Science of Cytopathology

1996·437 Zit.·International Journal of Gynecological Pathology
475.

A support vector machine-based ensemble algorithm for breast cancer diagnosis

2017·435 Zit.·European Journal of Operational Research