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An extensive analysis of artificial intelligence and segmentation methods transforming cancer recognition in medical imaging
Recent advancements in computational intelligence, deep learning, and computer-aided
detection have had a significant impact on the field of medical imaging. The task of image …
detection have had a significant impact on the field of medical imaging. The task of image …
Analysis of environmental factors for smart farming: An internet of things based approach
The Internet of Things also referred to as IoT plays an important role in our everyday lives by
allowing us to control electrical gadgets through networks. Controlling is accomplished by …
allowing us to control electrical gadgets through networks. Controlling is accomplished by …
An Approach for Lung Cancer Detection and Classification Using LeNet-DenseNet
A Mathew, KSV Grace, MMSJ Preetha - … : Applications, Basis and …, 2025 - World Scientific
Lung cancer is a malicious disorder that affects millions of people around the globe.
Premature detection and classification of malignant cells can gradually improve the rate of …
Premature detection and classification of malignant cells can gradually improve the rate of …
Prostate cancer classification with MRI using Taylor-bird squirrel optimization based deep recurrent neural network
GV Kumar, MI Bellary, TB Reddy - The Imaging Science Journal, 2022 - Taylor & Francis
Prostate cancer is a type of cancer that develops in the prostate. The prostate is a little gland
in men that resembles a walnut and secretes seminal fluid, which nourishes and transports …
in men that resembles a walnut and secretes seminal fluid, which nourishes and transports …
[PDF][PDF] DUF-Net: A Retinal Vessel Segmentation Method Integrating Global and Local Features with Skeleton Fitting Assistance.
X Xu, R Lin, J Chen, H He - International Journal of …, 2024 - pdfs.semanticscholar.org
Assisted evaluation through retinal vessel segmentation facilitates the early prevention and
diagnosis of retinal lesions. To address the scarcity of medical samples, current research …
diagnosis of retinal lesions. To address the scarcity of medical samples, current research …
Digit Recognition and Separation of Overlapped Digits using Deep CapsNet
Separation of overlap** digits is observed as a very difficult task when done with human
eye, but subsequently it becomes easy when computer vision is used for the same task. The …
eye, but subsequently it becomes easy when computer vision is used for the same task. The …
Communication jamming in body sensor network: A review
The Wireless Body Sensor Network (WBSN) surrounds and communicates with the human
body. Wearable and implantable tiny sized sensor nodes placed or attached on the human …
body. Wearable and implantable tiny sized sensor nodes placed or attached on the human …
A novel approach to classify skin malignancy through deep convolutional neural network and image preprocessing approaches
Melanoma is a Malignant skin disease that kills roughly one million people per year, as per
WHO records. The proposed work's major goal is to create and develop an enhanced deep …
WHO records. The proposed work's major goal is to create and develop an enhanced deep …
Extended Network Lifespan with Fault-Tolerant Information Transmission
Wireless sensor networks' primary goal is to reliably convey data while taking into
consideration the limited memory and battery power of each sensor node. In the wireless …
consideration the limited memory and battery power of each sensor node. In the wireless …
Smart Sensor Networks: Review of Clustering and Optimization Techniques
Wireless Sensor Networks (WSNs) are built from a large number of autonomous nodes
having sensors, wireless connection, CPU, memory, and energy. Because WSNs are so …
having sensors, wireless connection, CPU, memory, and energy. Because WSNs are so …