Artificial intelligence in lung cancer pathology image analysis
Objective: Accurate diagnosis and prognosis are essential in lung cancer treatment
selection and planning. With the rapid advance of medical imaging technology, whole slide …
selection and planning. With the rapid advance of medical imaging technology, whole slide …
Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
Pneumonia is one of the diseases that people may encounter in any period of their lives.
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
Deep learning with lung segmentation and bone shadow exclusion techniques for chest X-ray analysis of lung cancer
The recent progress of computing, machine learning, and especially deep learning, for
image recognition brings a meaningful effect for automatic detection of various diseases …
image recognition brings a meaningful effect for automatic detection of various diseases …
Validation of a deep learning algorithm for the detection of malignant pulmonary nodules in chest radiographs
Importance The improvement of pulmonary nodule detection, which is a challenging task
when using chest radiographs, may help to elevate the role of chest radiographs for the …
when using chest radiographs, may help to elevate the role of chest radiographs for the …
A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons
Stem cells with the capability to self-renew and differentiate into multiple cell derivatives
provide platforms for drug screening and promising treatment options for a wide variety of …
provide platforms for drug screening and promising treatment options for a wide variety of …
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19
Shortly after deep learning algorithms were applied to Image Analysis, and more importantly
to medical imaging, their applications increased significantly to become a trend. Likewise …
to medical imaging, their applications increased significantly to become a trend. Likewise …
Chest X-ray analysis of tuberculosis by deep learning with segmentation and augmentation
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable
predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of …
predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of …
Pneumonia detection using deep learning approaches
A Tilve, S Nayak, S Vernekar, D Turi… - … on emerging trends …, 2020 - ieeexplore.ieee.org
Pneumonia is among the most prevalent diseases, and due to lack of experts it is difficult to
detect. This paper focuses on surveying and comparing the detection of lung disease using …
detect. This paper focuses on surveying and comparing the detection of lung disease using …
Image-to-images translation for multi-task organ segmentation and bone suppression in chest x-ray radiography
Chest X-ray radiography is one of the earliest medical imaging technologies and remains
one of the most widely-used for diagnosis, screening, and treatment follow up of diseases …
one of the most widely-used for diagnosis, screening, and treatment follow up of diseases …