Breast cancer, impacting both men and women, though it is notably more prevalent in women, ranks among the most widespread types of cancer worldwide. Early detection of breast cancer significantly improves treatment o...
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ISBN:
(纸本)9798350350661;9798350350654
Breast cancer, impacting both men and women, though it is notably more prevalent in women, ranks among the most widespread types of cancer worldwide. Early detection of breast cancer significantly improves treatment outcomes and increases the likelihood of successful recovery, underscoring the importance of regular screenings and prompt medical attention upon noticing any changes or abnormalities in breast health. Utilizing a computer-aided Diagnosis (CAD) system further enhances early detection capabilities, assisting clinicians in accurate diagnosis and treatment planning. Unlike existing binary methods, the proposed method employs a three-class classification system distinguishing between mass, microcalcification, and normal tissues. Initial preprocessing is followed by patch extraction and augmentation, playing a pivotal role in mitigating overfitting and enabling the model to learn robust features that generalize effectively to new medical images. A deep-learning architecture, with various pre-trained models includes ResNet50, ResNet101, ResNet152, Inception ResNet V2, Inception V3, VGG-16, and VGG-19, is trained on the augmented dataset to classify patches into normal, microcalcification, and mass categories. the proposed model is validated on the combined dataset which demonstrates the model's accuracy in diagnosing breast abnormalities, with Inception ResNet V2 achieving an accuracy of 97.93%, outperforming other pre-trained models. the system achieved an overall sensitivity, specificity, precision, and F1-score approximate 0.9411, 0.9885, 0.9740 and 0.9557, respectively, illustrating the model's robustness and its ability to reliably detect and classify breast abnormalities.
Network on Chip (NoC) is an upcoming paradigm that copes withthe increasing complexity and communication requirement of future System on Chip (SoC). In this paper, we have modeled the NoC traffic characteristics unde...
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One of the most deadly types of cancer is lung cancer, and effective treatment depends on early detection. To detect lung cancer in its early stages, numerous computer-aided diagnostic (CAD) methods have been develope...
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Withthe enrichment of mobile application services, the Super-App mode is becoming more and more popular. As applications based on Super-Apps, Mini-Apps are faced withthe problems that its internal functions are diff...
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Energetic particles impacting avionics video processing design systems in the radiation environment possibly produce single-event upsets, leading to partial dysfunction. To address this problem, this paper proposes a ...
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Using artificial neural networks to simulate a dual QZS converter high step up dc to ac converter is the main goal of this work. the standard converter of QZS with PI controller could be modified by incorporating an A...
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Optical communication plays a key role in today's life. Achieving efficient and reliable long-distance communication through optical fibers has long been an important problem. this study primarily employs computer...
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In large scientific installations, there are various intelligent monitoring and control terminals, each using a different bus communication protocol. this project involves the system development of an embedded univers...
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the proceedings contain 128 papers. the topics discussed include: visual SLAM with 3D gaussian primitives and depth priors enabling novel view synthesis;Tibetan medicine intelligent consultation system based on graph ...
ISBN:
(纸本)9798350378542
the proceedings contain 128 papers. the topics discussed include: visual SLAM with 3D gaussian primitives and depth priors enabling novel view synthesis;Tibetan medicine intelligent consultation system based on graph database;emo-care: emotional interaction system based on multimodal fusion and edge intelligence for emotional care;an enhanced graph infomax model combined with convolutional neural network for acupoint compatibility representation learning;research on dynamic music emotion recognition method for sound and light fusion emotion regulation;multimodal depression recognition based on self-supervised learning;the iterative query knowledge graph completion strategy;and design and implementation of parallel deterministic network system.
the significance of the mango fruit in both nutritional value and economic terms cannot be overstated, highlighting the necessity to tackle the problems caused by diseases impacting mango farming. the adoption of tech...
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