Histopathology image classification using hybrid parallel structured DEEP-CNN models
KJ Dsouza, ZA Ansari - Applied Computer Science, 2022 - ph.pollub.pl
The healthcare industry is one of the many out there that could majorly benefit from
advancement in the technology it utilizes. Artificial intelligence (AI) technologies are …
advancement in the technology it utilizes. Artificial intelligence (AI) technologies are …
Hybrid convolution neural network in classification of cancer in histopathology images
SP Angayarkanni - Journal of Digital Imaging, 2022 - Springer
Cancer statistics in 2020 reveals that breast cancer is the most common form of cancer
among women in India. One in 28 women is likely to develop breast cancer during their …
among women in India. One in 28 women is likely to develop breast cancer during their …
Classification of Colon and Lung Cancer Through Analysis of Histopathology Images Using Deep Learning Models.
In the last four decades, medicine and healthcare have made revolutionary advances.
During this time, the true causes of many diseases were discovered and new diagnostic …
During this time, the true causes of many diseases were discovered and new diagnostic …
Automated classification of histopathology images using transfer learning
M Talo - Artificial intelligence in medicine, 2019 - Elsevier
Early and accurate diagnosis of diseases can often save lives. Diagnosis of diseases from
tissue samples is done manually by pathologists. Diagnostics process is usually time …
tissue samples is done manually by pathologists. Diagnostics process is usually time …
[PDF][PDF] Medical Image Data Classification Using Deep Learning Based Hybrid Model with CNN and Encoder.
BP Battula, D Balaganesh - Revue d'Intelligence Artificielle, 2020 - researchgate.net
Accepted: 6 October 2020 Healthcare sector is one of the prime and different from other
trade. Society expects high priority and highest level of services and care irrespective of …
trade. Society expects high priority and highest level of services and care irrespective of …
[HTML][HTML] Cancer diagnosis in histopathological image: CNN based approach
Breast cancer affects one out of eight females worldwide. It is diagnosed by detecting the
malignancy of the cells of breast tissue. Modern medical image processing techniques work …
malignancy of the cells of breast tissue. Modern medical image processing techniques work …
Classification of histopathology images of lung cancer using convolutional neural network (CNN)
N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
Deep neural network based classification of tumourous and non-tumorous medical images
Tumor identification and classification from various medical images is a very challenging
task. Various image processing and pattern identification techniques can be used for tumor …
task. Various image processing and pattern identification techniques can be used for tumor …
A deep classification system for medical data analysis
AM Hassan, YF Hassan… - Journal of Medical …, 2018 - ingentaconnect.com
Medical records encompass entities representing patients' vital aspects. Whenever
incorporated, entities assist in building up a comprehensive diagnosis of the patient …
incorporated, entities assist in building up a comprehensive diagnosis of the patient …
Improved convolutional neural network based histopathological image classification
V Rachapudi, G Lavanya Devi - Evolutionary Intelligence, 2021 - Springer
Histopathological image classification is one of the important application areas of medical
imaging. However, an accurate and efficient classification is still an open-ended research …
imaging. However, an accurate and efficient classification is still an open-ended research …