ISSN : 2663-2187
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Strategies for Teaching Vocabulary Effectively to ESL Students: Identifying and Resolving Challenges : An Emperical Study
Volume 7 | Issue - 1 articles in press
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Perceiving the Self and Others: A Phenomenological Analysis of Character Consciousness in Anita Nair's Fiction
Volume 7 | Issue - 1 articles in press
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Soft Skills: The Catalyst for Critical Thinking in Engineering Education
Volume 7 | Issue - 1 articles in press
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A Comprehensive Framework for Exploring and Evaluating Learning Digital Resources in English Language Classrooms
Volume 7 | Issue - 1 articles in press
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EXPLORATION OF INDIGOFERA PROSTRATE AGAINST OXIDATIVE STRESS AND EVALUATION FOR NEUROPROTECTION IN CHEMICALLY INDUCED NEUROTOXIC RATS
Volume 7 | Issue - 1 articles in press
IMPROVED LUNG TUMOR CLASSIFICATION IN CT IMAGES WITH RESNET, TYDWT AND MASK R-CNN
Main Article Content
Abstract
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, emphasizing the importance of early detection and accurate classification for effective treatment planning. This study presents an advanced approach for lung tumor classification in CT images, integrating ResNet classification with TyDWT noise removal, grouping, mapping, and Mask R-CNN segmentation.
