Medical Imaging
Prostate cancer is a major global health challenge, emphasizing the need for better diagnostic methods. This study addresses early detection and advances multi-class semantic segmentation, specifically focusing on discriminating Gleason patterns 3 and 4 in prostate adenocarcinoma tissues. We utilize data science techniques to help improve patient treatment in our current clinical cancer diagnosis. We introduce our publicly available dataset of 100 unique digitized whole-slide images (WSIs) of prostate needle core biopsy specimens stained with hematoxylin and eosin.
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334 Views
This is an open source data set from Kaggle. The original link is
<a href="https://www.kaggle.com/datasets/farjanakabirsamanta/osteoarthritis-prediction?resource=download">IEEE DataPort</a>
The dataset, provided by the University of Florida and the OAI organisation in September 2018, is 428MB in size and contains 5778 training samples, 1656 test samples and 826 validation samples.
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128 Views
UTERUS: The uterus dataset (Huang et al. 2021) collected from the treatment device HIFU Pro2008 of Shenzhen ProHuiren Company. The dataset comprises 495 HIFU treatment ultrasound monitoring images of uterus, with 330 images randomly selected for training, 50 images for validating and 115 images for testing. The target region for treatment is the tumor region in the ultrasound image, as marked by professional doctors, and the image size is 448×544 pixels.
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262 Views
This synthetic dataset or phantom consists of 3 jpg format databases, in the two-dimensional (2-D) domain, which are identified as follows:
DB1: Ground Truth
DB2: Speckle noise with zero mean and 0.005 standard deviation
DB3: Speckle noise with zero mean and 0.05 standard deviation
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61 Views
This data set contains:
- Training dataset: 271 CT-scans of inner ears used for optimization and training of the model.
- Validation dataset: 70 CT-scans of inner ears used for external validation.
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159 Views
The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.
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436 Views
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191 Views
Autism spectrum disorder (ASD) is characterized by qualitative impairment in social reciprocity, and by repetitive, restricted, and stereotyped behaviors/interests. Previously considered rare, ASD is now recognized to occur in more than 1% of children. Despite continuing research advances, their pace and clinical impact have not kept up with the urgency to identify ways of determining the diagnosis at earlier ages, selecting optimal treatments, and predicting outcomes. For the most part this is due to the complexity and heterogeneity of ASD.
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750 Views
This dataset contains MRI data acquired approximately 20 minutes before ("Pre-ablation") and 20-40 minutes after ("Post-ablation") MR-guided focused ultrasound thermal ablations in the muscle tissue (quadriceps) in four (n=4) New Zealand white rabbits. MR images include MR thermometry acquired with the proton resonance frenquency method, ADC maps (b=0,400), T2-weighted, and pre- and post-contrast enhanced T1-weighted images. All MRI acquisitions were 3D except for the ADC acquisition, which was 2D multi-slice.
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115 Views
This dataset is a combination of the following three datasets :
figshare
SARTAJ dataset
Br35H
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4646 Views