Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Hoofdauteurs: | Hossain, Mainul, Haque, Shataddru Shyan, Ahmed, Humayun, Mahdi, Hossain Al, Aich, Ankan |
---|---|
Andere auteurs: | Reza, Md Tanzim |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2022
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/16671 |
Gelijkaardige items
-
Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
door: Mizan, Mubasshira, et al.
Gepubliceerd in: (2024) -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
door: Mim, Ankhi Akter, et al.
Gepubliceerd in: (2024) -
ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
door: Dipto, Shakib Mahmud
Gepubliceerd in: (2024) -
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
door: Ahmed, Yasin, et al.
Gepubliceerd in: (2018) -
Structurally and semantically coherent deep image inpainting
door: Sami, Mirza Tanzim, et al.
Gepubliceerd in: (2019)