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.
Autores principales: | Faruk, Farhan, Alam, H.M. Sarwer |
---|---|
Otros Autores: | Alam, Md. Golam Rabiul |
Formato: | Tesis |
Lenguaje: | English |
Publicado: |
Brac University
2024
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/23965 |
Ejemplares similares
-
Immunotherapy in the treatment of renal cancer
por: Shimu, Sumaya
Publicado: (2022) -
Elucidating the functional roles of bidirectionally transcribed genes in immunobiology of cancers
por: Ahmad, Sheikh Shafin
Publicado: (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
por: Shawn, Ibna Hasan
Publicado: (2024) -
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
por: Reza, S. M. Mushfiq, et al.
Publicado: (2024) -
Effect of passive immunization with mouse Anti-BCG 64 kDa protein on ehrlich ascites carcinoma cells
por: Chowdhury, Maisha Mosharrat
Publicado: (2018)