[PDF][PDF] Classification Of Colon Cancer Using Deep Learning Techniques On Histopathological Images
Colon cancer is widely spread and deadly type of cancer in humans. Smoking contributes to
the growth of lung cancer, which leads to an unbalanced diet, which can lead to colon …
the growth of lung cancer, which leads to an unbalanced diet, which can lead to colon …
Lung and Colon Cancer Classification of Histopathology Images Using Convolutional Neural Network
The greatest significant contributor to cancer-related morbidity and mortality worldwide is
malignant lung tumors. Lung cancer frequency has been seen to be on the rise recently …
malignant lung tumors. Lung cancer frequency has been seen to be on the rise recently …
Robotic-Assisted Systems in Gynecology: A Systematic Review
Gynecological surgery involves a range of surgical procedures addressing organs within the
female pelvic region, such as the uterus, ovaries, cervix, fallopian tubes, vagina, and vulva …
female pelvic region, such as the uterus, ovaries, cervix, fallopian tubes, vagina, and vulva …
Ensemble of transfer learning and light-weight convolutional neural network model for an effective ear recognition system
R Mehta, KK Singh - Evolving Systems, 2024 - Springer
The transfer learning and deep convolutional neural network-based recognition models
have been merged to develop an efficient model in the contemporary time. The ear …
have been merged to develop an efficient model in the contemporary time. The ear …
[HTML][HTML] Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning
K Vanitha, SS Sree, S Guluwadi - BMC Medical Informatics and Decision …, 2024 - Springer
Lung and colon cancers are leading contributors to cancer-related fatalities globally,
distinguished by unique histopathological traits discernible through medical imaging …
distinguished by unique histopathological traits discernible through medical imaging …
White Spot Syndrome Detection in Shrimp using Neural Network Model
K Vembarasi, VP Thotakura… - … on Computing for …, 2024 - ieeexplore.ieee.org
White Spot Syndrome Virus (WSSV) epidemics have seriously harmed penaeid shrimp
aquaculture all over the world. There remains an absence of information concerning these …
aquaculture all over the world. There remains an absence of information concerning these …
Vision Transformer Based Effective Model for Early Detection and Classification of Lung Cancer
This study explores the worldwide effects of lung cancer and its early detection and
diagnosis. Artificial intelligence (AI)-based models are quite popular among researchers in …
diagnosis. Artificial intelligence (AI)-based models are quite popular among researchers in …
ConvNeXt network with transfer learning for cumulative foot pressure images recognition
Humans can be differentiated by their walking style using cumulative foot pressure images,
which are 2-D cumulative ground reaction forces during each gait cycle. In this paper, we …
which are 2-D cumulative ground reaction forces during each gait cycle. In this paper, we …
Local Binary Pattern (LBP) and Transfer Learning Based Approach to Classify Lung and Colon Cancer
Several genetic disorders and other metabolic abnormalities work together to generate the
lethal disease known as cancer. Today's most contributing factors to mortality and disability …
lethal disease known as cancer. Today's most contributing factors to mortality and disability …
Anomaly detection framework for highly scattered and dynamic data on large-scale networks using AWS
Network anomaly detection is crucial for securing computer networks and communications.
However, handling highly scattered data in large-scale, dynamic networks poses …
However, handling highly scattered data in large-scale, dynamic networks poses …