Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
المؤلفون الرئيسيون: | Islam, Tahsin, Absar, Shahriar, Nasif, S.M. Ali Ijtihad, Mridul, Sadman Sakib |
---|---|
مؤلفون آخرون: | Islam, MD.Saiful |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/15677 |
مواد مشابهة
-
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
بواسطة: Rahman, Afridi Ibn, وآخرون
منشور في: (2022) -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
بواسطة: Niloy, Ahashan Habib, وآخرون
منشور في: (2021) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
بواسطة: Akhter, Nasrin
منشور في: (2023) -
X-Ray (2D) and CT-scanned (3D) image matching for person identification
بواسطة: Hossain, Khondker Fariha, وآخرون
منشور في: (2018) -
Analyzing students’ concentration in online courses through Webcam
بواسطة: Asif, Md., وآخرون
منشور في: (2024)