Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Egile Nagusiak: | Faruk, Farhan, Alam, H.M. Sarwer |
---|---|
Beste egile batzuk: | Alam, Md. Golam Rabiul |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2024
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/23965 |
Antzeko izenburuak
-
Immunotherapy in the treatment of renal cancer
nork: Shimu, Sumaya
Argitaratua: (2022) -
Elucidating the functional roles of bidirectionally transcribed genes in immunobiology of cancers
nork: Ahmad, Sheikh Shafin
Argitaratua: (2021) -
Assessing therapeutic safety and efficacy of Pazopanib, Pembrolizumab plus Axitinib and Nivolumab plus Ipilimumab in Renal Cell Carcinoma: a systematic review and meta-analysis
nork: Shawn, Ibna Hasan
Argitaratua: (2024) -
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
nork: Reza, S. M. Mushfiq, et al.
Argitaratua: (2024) -
Effect of passive immunization with mouse Anti-BCG 64 kDa protein on ehrlich ascites carcinoma cells
nork: Chowdhury, Maisha Mosharrat
Argitaratua: (2018)