A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based …
The presence of lung metastases in patients with primary malignancies is an important
criterion for treatment management and prognostication. Computed tomography (CT) of the …
criterion for treatment management and prognostication. Computed tomography (CT) of the …
Introduction to Neuromorphic Computing Systems
The process of using electronic circuits to replicate the neurobiological architectures seen in
the nervous system is known as neuromorphic engineering, also referred to as …
the nervous system is known as neuromorphic engineering, also referred to as …
Certain investigations on Computed Tomography based imaging for identification of lung cancer
N Vijayan, J Kuruvilla - 2023 Advanced Computing and …, 2023 - ieeexplore.ieee.org
In terms of mortality, lung cancer ranks second worldwide among diseases with the greatest
danger. Although early diagnosis might improve recovery, it is a very hectic task in its early …
danger. Although early diagnosis might improve recovery, it is a very hectic task in its early …
Spatial-channel attention-based stochastic neighboring embedding pooling and long-short-term memory for lung nodules classification
A Saihood, H Karshenas… - 2022 12th International …, 2022 - ieeexplore.ieee.org
Handling lesion size and location variance in lung nodules are one of the main
shortcomings of traditional convolutional neural networks (CNNs). The pooling layer within …
shortcomings of traditional convolutional neural networks (CNNs). The pooling layer within …
Performance Analysis of Deep Learning Algorithms in Skin Lesion Classification
S Dhanasekar, K Kuraloviya… - 2023 7th …, 2023 - ieeexplore.ieee.org
As a malignant form of skin disease, skin carcinoma requires early identification and
treatment. Development, implementation, and calibration of an advanced deep learning …
treatment. Development, implementation, and calibration of an advanced deep learning …
Pulmonary nodule classification with fine-tuned deep learning models
MP Singh - 2023 IEEE 7th Conference on Information and …, 2023 - ieeexplore.ieee.org
Lung cancer is one of the deadliest cancer types that exists today. At an early stage, deep
learning techniques assist radiologists in classifying the malignant pulmonary nodules of …
learning techniques assist radiologists in classifying the malignant pulmonary nodules of …
A Lightweight-CNN Model for Efficient Lung Cancer Detection and Grad-CAM Visualization
The lungs' abnormal cell growth leads to the development of lung cancer. Early cancer
identification could make treatment easier, potentially saving millions of lives annually. This …
identification could make treatment easier, potentially saving millions of lives annually. This …
A Novel Deep Learning Assisted Lung Nodule Identification Mechanism with Intelligent Image Processing Principles
P Senthil, VS Pandi, D Shobana… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Lung cancer has the greatest fatality rate of all cancers. Due to its efficacy, chest CT has
become standard practice for lung cancer screening and diagnosis. Radiologists have a …
become standard practice for lung cancer screening and diagnosis. Radiologists have a …
Detection of Lung Nodule using Novel Deep Learning Algorithm based on Computed Tomographic Images
PG Kuppusamy, E Kosalendra… - 2023 Eighth …, 2023 - ieeexplore.ieee.org
An improvement of medical field requires a wide range of support from Artificial Intelligence
(AI) system and several learning mechanisms. In such case a logic of Medical Image …
(AI) system and several learning mechanisms. In such case a logic of Medical Image …