A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer
This study presents a non-invasive, automated, clinical diagnostic system for early diagnosis
of lung cancer that integrates imaging data from a single computed tomography scan and …
of lung cancer that integrates imaging data from a single computed tomography scan and …
Radiomic-based framework for early diagnosis of lung cancer
This paper proposes a new framework for pulmonary nodule diagnosis using radiomic
features extracted from a single computed tomography (CT) scan. The proposed framework …
features extracted from a single computed tomography (CT) scan. The proposed framework …
On the integration of ct-derived features for accurate detection of lung cancer
Lung cancer is one of the unsafe maladies that reason enormous disease passing around
the world. Early and accurate detection of lung cancer is the main conceivable approach to …
the world. Early and accurate detection of lung cancer is the main conceivable approach to …
[PDF][PDF] Detection of Lung Nodules on X-ray Using Transfer Learning and Manual Features.
I Arshad Choudhry, AN Qureshi - Computers, Materials & …, 2022 - cdn.techscience.cn
The well-established mortality rates due to lung cancers, scarcity of radiology experts and
inter-observer variability underpin the dire need for robust and accurate computer aided …
inter-observer variability underpin the dire need for robust and accurate computer aided …
A Diagnostic Study of Content-Based Image Retrieval Technique for Studying the CT Images of Lung Nodules and Prediction of Lung Cancer as a Biometric Tool
R Dixit, P Kumar, S Ojha - International Journal of Electrical …, 2023 - ijeer.forexjournal.co.in
ContentBased Medical Image Retrieval (CBMIR) can be defined as a digital image search
using the contents of the images. CBMIR plays a very important part in medical applications …
using the contents of the images. CBMIR plays a very important part in medical applications …
Classification of Lung Nodules into Benign or Malignant and Development of a CBIR System for Lung CT Scans
K Bhavanishankar, MV Sudhamani - Computational Vision and Bio …, 2020 - Springer
Abstract Computer Aided Diagnosis (CAD) systems provide a great assistance to the
radiologists in screening the CT scans of lung cancer patients in identifying and classifying …
radiologists in screening the CT scans of lung cancer patients in identifying and classifying …
[PDF][PDF] CBIR System for lung nodule retrieval in CT scans
Lung cancer remains one of the fatal diseases with very high mortality rate in both men and
women. Computer aided diagnostic systems have been contributing towards the …
women. Computer aided diagnostic systems have been contributing towards the …
Machine learning approaches for lung cancer diagnosis.
AMA Shaffie - 2021 - ir.library.louisville.edu
The enormity of changes and development in the field of medical imaging technology is hard
to fathom, as it does not just represent the technique and process of constructing visual …
to fathom, as it does not just represent the technique and process of constructing visual …
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
I Kravets, T Heletz, H Greenspan - … Conference, Lima, Peru, October 4–8 …, 2020 - Springer
Content-based retrieval supports a radiologist decision making process by presenting the
doctor the most similar cases from the database containing both historical diagnosis and …
doctor the most similar cases from the database containing both historical diagnosis and …