Classification of non-small cell lung cancer using one-dimensional convolutional neural network
Abstract Non-Small Cell Lung Cancer (NSCLC) is a major lung cancer type. Proper
diagnosis depends mainly on tumor staging and grading. Pathological prognosis often faces …
diagnosis depends mainly on tumor staging and grading. Pathological prognosis often faces …
Automated AJCC staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)
Purpose A large chunk of lung cancers are of the type non-small cell lung cancer (NSCLC).
Both the treatment planning and patients' prognosis depend greatly on factors like AJCC …
Both the treatment planning and patients' prognosis depend greatly on factors like AJCC …
An efficient content-based image retrieval system for the diagnosis of lung diseases
The main problem in content-based image retrieval (CBIR) systems is the semantic gap
which needs to be reduced for efficient retrieval. The common imaging signs (CISs) which …
which needs to be reduced for efficient retrieval. The common imaging signs (CISs) which …
Analysis of active contours without edge-based segmentation technique for brain tumor classification using svm and knn classifiers
AS Remya Ajai, S Gopalan - … Systems and Networks: Select Proceedings of …, 2020 - Springer
Classification of brain tumors using machine learning technology in this era is very relevant
for the radiologist to confirm the analysis more accurately and quickly. The challenge lies in …
for the radiologist to confirm the analysis more accurately and quickly. The challenge lies in …
Prediction of non-small cell lung cancer histology by a deep ensemble of convolutional and bidirectional recurrent neural network
D Moitra, RK Mandal - Journal of Digital Imaging, 2020 - Springer
Histology subtype prediction is a major task for grading non-small cell lung cancer (NSCLC)
tumors. Invasive methods such as biopsy often lack in tumor sample, and as a result …
tumors. Invasive methods such as biopsy often lack in tumor sample, and as a result …
Automated grading of non-small cell lung cancer by fuzzy rough nearest neighbour method
Lung cancer is one of the most lethal diseases across the world. Most lung cancers belong
to the category of non-small cell lung cancer (NSCLC). Many studies have so far been …
to the category of non-small cell lung cancer (NSCLC). Many studies have so far been …
A novel approach for neural networks based diagnosis and grading of stroke in tumor-affected brain MRIs
S Krishnamoorthy, S Paulraj, NP Selvaraj… - … in Neural Systems, 2023 - Taylor & Francis
Recognition and diagnosis of stroke from magnetic resonance Image (MRIs) are significant
for medical procedures in therapeutic standards. The primary goal of this scheme is the …
for medical procedures in therapeutic standards. The primary goal of this scheme is the …
[PDF][PDF] Comparison of multimodal tumor image segmentation techniques
D Moitra - Int J Adv Res Comput Sci, 2018 - researchgate.net
Use of multimodal imaging for the classification of tumors in human body is on the rise.
Segmentation is an important step of such classification process. There is need of carrying …
Segmentation is an important step of such classification process. There is need of carrying …
Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model
Many significant efforts have so far been made to classify malignant tumors by using various
machine learning methods. Most of the studies have considered a particular tumor genre …
machine learning methods. Most of the studies have considered a particular tumor genre …
[PDF][PDF] Diagnosis of brain hemorrhage using artificial neural network
V Davis, S Devane - International Journal of Scientific Research in …, 2017 - ijsrnsc.org
Revised 26th Feb 2017, Accepted 15th Mar 2017, Online 30th Apr 2017 Abstract—Brain
hemorrhage is a type of stroke which is caused due to bursting of artery in the brain and thus …
hemorrhage is a type of stroke which is caused due to bursting of artery in the brain and thus …