Medical Image Classification - Groups

PCDAL

A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification

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Glaucoma

The dataset is used for medical image classification. The dataset contains retinal images of patients with open glaucoma.

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Hyper-Kvasir

The Hyper-Kvasir dataset contains 10,662 images labeled with anatomical landmarks as well as pathological and normal findings.

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Balanced-MixUp for Highly Imbalanced Medical Image Classification

Highly imbalanced datasets are ubiquitous in medical image classification problems. In such problems, it is often the case that rare classes associated to less prevalent...

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DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Diffusion Probabilistic Models have recently shown remarkable performance in generative image modeling, attracting significant attention in the computer vision community....

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Brain Tumor Dataset

Brain tumor MRI dataset used for classification of brain tumors into Meningioma, Glioma, and Pituitary tumor

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Indian Diabetic Retinopathy Image Dataset

A dataset of retinal images for diabetic retinopathy grading.

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Shenzhen Hospital X-ray Set

A dataset of X-rays for tuberculosis control.

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Montgomery County X-ray Set

A dataset of posterior-anterior X-rays for tuberculosis control.

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Pneumonia Chest X-ray Dataset

A dataset of chest X-ray images of children with pneumonia.

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Pneumonia, Tuberculosis, Retinopathy, and Brain Tumor Datasets

The dataset used in the paper for zero-shot medical image classification, pneumonia, tuberculosis, retinopathy, and brain tumor.

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Gastrointestinal Mucosal Problems Classification with Deep Learning

Gastrointestinal mucosal changes can cause cancers after some years and early diagnosing them can be very useful to prevent cancers and early treatment.

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Fed-ISIC2019

The dataset used in the paper is Fed-ISIC2019, which is a medical image classification dataset. It contains 23,247 samples across eight melanoma classes.

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Breast Cancer Image Classification Method Based on Deep Transfer Learning

Breast cancer image classification method based on deep transfer learning

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Diabetic Retinopathy Dataset

The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used a dataset for medical image classification, specifically for diabetic...

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15 datasets found