Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Päätekijät: | Nazmee, Namirah, Mahmud, Sadia, Ali, Mashyat Samiha, Alam, Khusbo |
---|---|
Muut tekijät: | Chakrabarty, Amitabha |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2024
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/23638 |
Samankaltaisia teoksia
-
To control site-specific skin gene expression, autocrine mimics paracrine canonical Wnt signaling and Is activated ectopically in skin disease
Tekijä: Kim, Dongwon, et al.
Julkaistu: (2016) -
Antimicrobial peptides in skin diseases
Tekijä: Pinkey, Monika Tabassum
Julkaistu: (2022) -
Manual of skin surgery : a practical guide to dermatologic procedures /
Tekijä: Leffell, David J.
Julkaistu: (1997) -
A novel vaccine designing method using in-silico tools against scaffold protein OPG 125 of monkeypox virus
Tekijä: Jannati, Sadia Zafur
Julkaistu: (2024) -
Detection of skin diseases using deep learning
Tekijä: Shodoy, Masuk Ur Rahman
Julkaistu: (2024)