Aditya1Jhaveri/Cervical-Cancer-Image-Classification-in-Deep-Learning

This repository hosts the Cervical Cancer Image Classification project, a comprehensive effort aimed at improving the classification accuracy of Squamous Cell Carcinoma (SCC) through advanced deep learning models and ensemble techniques. The project utilizes the Herlev dataset.

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Afrid1045/Brain-Tumor-Severity-Prediction-using-Multi-Modal-Squeeze-and-Excitation-Network

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hrsht-13/PneumoniaDetection

Using an External dataset to get the pre-trained weights of the NIH dataset and training on the provided dataset to detect the presence of pneumonia.

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raghavm1/CZ4041--Machine-Learning

The project for NTU's course on Machine Learning, CZ4041

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parham1998/CNN_Image_Annotaion

Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library

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Pranav-Nagpure/Dog-Breed-Prediction-NB

IPython Notebook to build the model for Dog Breed Prediction

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anant1203/Applying-Deep-Learning-for-Large-scale-Quantification-of-Urban-Tree-Cover

To find out vegetation cover using deep learning model that can be deployed on the edge device. Dataset used to train the model is cityscape dataset. Model used are Unet and Mobile net V2 model.

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farhan1503001/Image-Forgery-Detection

Comparison between different DL models such as VGGnet,InceptionV3,Resnet for copy move forgery detection

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Venn1998/GlaucomaDetection

Development and analysis of various deep NN models to detect glaucoma cases from fundus images. The performance of the best model was evaluated with cross-validation. Mean F1-score: 0.95975, with a standard deviation of 0.02274.

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farhan1503001/Breast-Cancer-Classification-From-Histopathological-Images

Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.

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