FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
W Ding, T Zhou, J Huang, S Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Histopathological image classification constitutes a pivotal task in computer-aided
diagnostics. The precise identification and categorization of histopathological images are of …
diagnostics. The precise identification and categorization of histopathological images are of …
Wi-Fi Aided Home Energy Management System and AC Prediction through Temperature and Humidity Sensors
M Tahir, AS Mohammed, S Marwaha… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Energy management is an important issue to restrict the crisis of global warming. Power
utilities and consumers are looking at the energy management system to improve energy …
utilities and consumers are looking at the energy management system to improve energy …
TransLevelSet: Integrating Vision Transformers with Level-Sets for Medical Image Segmentation
Abstract Recently, Vision Transformers (ViTs) have emerged as a breakthrough in computer
vision and image analysis. Still, their exceptional performance depends on the availability of …
vision and image analysis. Still, their exceptional performance depends on the availability of …
ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images
Background and objective: Lung cancer (LC) has a high fatality rate that continuously affects
human lives all over the world. Early detection of LC prolongs human life and helps to …
human lives all over the world. Early detection of LC prolongs human life and helps to …
Estate Price Predictor for Multan City Townships Using Machine Learning
People are vigilant about buying a new house or plot where they are enthusiastic to live.
They are likewise capricious in land because of inclusion of non-regularized real estate …
They are likewise capricious in land because of inclusion of non-regularized real estate …
Application of deep transfer learning in detection of lung cancer: A systematic survey
Lung Cancer is the deadliest type of cancer. For diagnosing and detecting lung cancer,
many Deep learning techniques are proposed. Deep learning techniques depend on …
many Deep learning techniques are proposed. Deep learning techniques depend on …
[HTML][HTML] Smart Diagnosis of Adenocarcinoma Using Convolution Neural Networks and Support Vector Machines
B Ananthakrishnan, A Shaik, S Chakrabarti, V Shukla… - Sustainability, 2023 - mdpi.com
Adenocarcinoma is a type of cancer that develops in the glands present on the lining of the
organs in the human body. It is found that histopathological images, obtained as a result of …
organs in the human body. It is found that histopathological images, obtained as a result of …
Design of optimized fourth order PDE filter for restoration and enhancement of Microbiopsy images of breast Cancer
The histopathological analysis is the benchmark in the diagnosis of breast cancer. During
the formation of microscopic images, it may be corrupted due to Poisson noise, artifacts, and …
the formation of microscopic images, it may be corrupted due to Poisson noise, artifacts, and …
Privacy-based framework for Cyber Resilience of Healthcare based data for use with Machine Learning algorithms
Cyber resilience is the business capability of handling the risks and preparing themselves
for responding and recovering from risks. Being a cyber resilient the organization is capable …
for responding and recovering from risks. Being a cyber resilient the organization is capable …
Tumor Detection using Deep Learning in Organs Specific to Indian Predicament
AM Prakash, S Aditya, S Diwakar… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Herein, a research study has been conducted to address the increasing prevalence of
serious diseases, including uterine, breast, and colon cancer, particularly in Kerala, as …
serious diseases, including uterine, breast, and colon cancer, particularly in Kerala, as …