BRAIN TUMOR SEGMENTATION USING UNET++ AND GRADCAM /

Enregistré dans:

Détails bibliographiques
Auteur principal:	Buhiyan, Md. Raiyan
Collectivité auteur:	Supervised by Brig Gen Mohammad Shahjahan Majib (Head of the Dept, CSE, MIST, Dhaka)
Autres auteurs:	Tasnim, Anika, Samia, Farzana Mozammel, Abdullah, Md. Arif
Format:	Livre
Langue:	anglais
Publié:	Dhaka : CSE DEPT. MIST, c2026.
Sujets:	Computer Science and Engineering. This Thesis Paper of CSE in B.Sc Program.
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires: BRAIN TUMOR SEGMENTATION USING UNET++ AND GRADCAM /

Aperçu
DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Aperçu
CT-SCAN BASED BRAIN HEMORRHAGE AND MR IMAGE BASED BRAIN TUMOR DETECTION /
Aperçu
ROBUST OBJECT SEGMENTATION USING MODIFICATION OF CLASSICAL SPLIT AND MERGE ALGORITHM /
Aperçu
TOWARDS EVELOPING AN IMAGING APPLICATION TO AID PHYSICIANS ANALYZING MRI IMAGES OF BRAIN TUMOR: A MACHINE LEARNING APPROACH THROUGH COMPARATIVE ANALYSIS /
Aperçu
ATTENTION-ENHANCED DEEP 3DU-NET FRAMEWORKS FOR MULTI-MODAL BRAIN TUMOR SEGMENTATION /
Aperçu
ROTATION INVARIANT SEGMENTATION OF BANGLA CHARACTERS /
Aperçu
FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
Aperçu
IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Aperçu
COMPARATIVE ANALYSIS OF SEA-LEVEL PREDICTION IN COASTAL REGIONS BANGLADESH USING MACHINE LEARNING, DEEP LEARNING AND TIME SERIES ANALISIS /
Aperçu
OBJECT SEGMENTATION BASED ON SPLIT AND MARGE ALGORITHM /
Aperçu
DESIGN AND DEVELOPMENT OF MATLAB BASED GUI FOR BRAIN TUMOR DETECTION FROM MRI IMAGES /
Aperçu
RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
Aperçu
DEVELOPING A DEEP LEARNING-BASED AR SHOE TRY-ON APP WITH 3D SHOE MODELING FROM SMARTPHON IMAGES /
Aperçu
RECOGNITION OF BANGLA SIGN LANGUAGE LETTERS AND WORDS USING HAND GESTURES /
Aperçu
AUTOMATED FRAMEWORK FOR SEGMENTING AND IDENTIFYING THYROID NODULES IN ULTRASOUND IMAGES /
Aperçu
BI-LEVEL GATED UNET FOR POLYP SEGMENTATION WITH ADVERSARIAL RESILIENCE AND SEMI-SUPERVISED LEARNING /
Aperçu
ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
Aperçu
ADVERSARIAL-AWARE BI-LEVEL UNET AND SEMI-SUPERVISED LEARNING FOR ENHANCING SKIN LESION SEGMENTATION /
Aperçu
STRESS CLASSIFICATION USING NEUROPHYSIOLOGICAL FEATURE THROUGH UNSUPERVISED MACHINE LEARNING TECHNIQUE /
Aperçu
COLORECTAL CANCER HISTOPATHOLOGY SEGMENTATION AND CLASSIFICATION THROUGH DISTILLED MOBILENETV2 U-NET AND SWIN TRANSFORMER PIPELINE /
Aperçu
A STUDY ON DIABETES PATIENT LIFESTYLE MANAGEMENT USING MOBILE APPLICATION /
Aperçu
CATARACTS PREDICTION USING MACHINE LEARNING TECHNIQUES: A BANGLADESH PERSPECTIVE /
Aperçu
CONVOLUTIONAL NEURAL NETWORK (CNN) FOR DETECTION OF PROSTATE CANCER USING CELL SLIDE IMAGES /
Aperçu
AUTOMATED LITERATURE REVIEW GENERATION USING NLP TECHNIQUES & RETRIEVAL AUGMENTED GENERATION UTILIZING LLM /