3D virtual staining with 2D and 2.5D U-Nets
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Jul 29, 2023 - Jupyter Notebook
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3D virtual staining with 2D and 2.5D U-Nets
This repository contains the ML and DL projects I implemented during my Bachelor's degree. It reflects the knowledge I gained from books and online sources. The models are trained on problems in NLP, Computer Vision, and more. This repository highlights my learning journey and the variety of projects I completed during my Bachelor's studies.
We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for our segmentation.
Voiceolation is a neural network for trained to extracts vocals from songs.
U-NET used for semantic segmentation of cultivated land in remote sensing image
Using deep learning a U-net architecture is used to make segmentation, detection, and extraction of the lower left third molar. The result of the proposed U-net is compared with Attention U-net and U-net++.
"Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray" by Debojyoti Pal, Pailla Balakrishna Reddy, and Sudipta Roy.
Testing performances of different models of DL on a small training dataset of Solar Cells to find defects
U-Net from Scratch for Brain Tumor Segmentation
Damaged image restauration using a GAN model with a U-Net with skip connection autoencoder as a generator
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps reduce the number of premature deaths. In the study, I am working on creating a convolutional neural network capable of identifying tumor areas within medical images (which were taken with ultrasound).
Visual analysis of the amount of advertising in the urban environment using computer vision (U-Net + PSP-Net) || Визуальный анализ заполненности городской среды элементами рекламы с помощью компьютерного зрения (U-Net + PSP-Net)
Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.
Nucleia image segmentation with U-net...
uav-image-segmentation for hurrican-hurvey-flood-damage by unet
Pothole Segmentation using a custom U-Net Segmentation model built and trained from scratch using TensorFlow and Keras
Harness the power of U-Net and advanced interpolation techniques to extract LST, emissivity, and NDVI from satellite images. Transform. raw satellite data into meaningful insights for climate analysis, agriculture, and urban studies
A repo to contain CNN-based models for brain tumor segmentation
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