SKIN LESION ANALYSIS USING HYBRID MACHINE LEARNING TECHNIQUES FOR EARLY DETECTION OF SKIN CANCER /

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Nissan, Md. Diner Ahmed
Erakunde egilea:	Supervised by T. M. Shahriar Sazzad, PhD (Associate Professor, Dept of CSE, MIST, Dhaka)
Beste egile batzuk:	Arafat, Md. Kawsar, Hossain, Md. Sabbir
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Dhaka : CSE DEPT. MIST, c2026.
Gaiak:	Computer Science and Engineering. This Thesis Paper of CSE in B.Sc Program.
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

MARC


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040		\|a BD-DhMIS \|c BD-DhMIS \|d BD-DhMIS
100		\|a Nissan, Md. Diner Ahmed \|9 1681
245		\|a SKIN LESION ANALYSIS USING HYBRID MACHINE LEARNING TECHNIQUES FOR EARLY DETECTION OF SKIN CANCER / \|c Md. Diner Ahmed Nissan, Md. Kawsar Arafat, Md. Sabbir Hossain
260		\|a Dhaka : \|b CSE DEPT. MIST, \|c c2026.
300		\|a ix, 65 p. : \|b illus. ; \|c 29 cm
504		\|a Includes bibliographical references.
541		\|e TP-3267
650		\|a Computer Science and Engineering. \|9 1682
650		\|a This Thesis Paper of CSE in B.Sc Program. \|9 1683
700		\|a Arafat, Md. Kawsar \|9 1943
700		\|a Hossain, Md. Sabbir \|9 1954
710		\|a Supervised by T. M. Shahriar Sazzad, PhD \|e Associate Professor, Dept of CSE, MIST, Dhaka \|9 1686
942		\|2 ddc \|c TP
999		\|c 12872 \|d 12872