An active-learning based training-schedule for biomedical image segmentation on deep neural networks
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Главные авторы: | Hassan, Mehadi, Das, Shemonto, Dipu, Shoaib Ahmed |
---|---|
Другие авторы: | Majumdar, Mahbubul Alam |
Формат: | Диссертация |
Язык: | en_US |
Опубликовано: |
Brac University
2021
|
Предметы: | |
Online-ссылка: | http://hdl.handle.net/10361/14809 |
Схожие документы
-
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
по: Sharma, Tanmoyee, и др.
Опубликовано: (2021) -
Exploring deep features: deeper fully convolutional neural network for image segmentation
по: Kamran, Sharif Amit, и др.
Опубликовано: (2017) -
3D Brain image segmentation using 3D tiled convolution neural networks
по: Haque, Md Mahibul, и др.
Опубликовано: (2024) -
A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
по: Bin Mushfiq, Rahil, и др.
Опубликовано: (2024) -
Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
по: Hossain, Mohammad Sakib, и др.
Опубликовано: (2023)