A cost-effective computer-vision based breast cancer diagnosis
In the last decade, there have been extensive reports of world health organization (WHO) on
breast cancer. About 2.1 million women are affected every year and it is the second most …
breast cancer. About 2.1 million women are affected every year and it is the second most …
Computational cartographic recognition: Identifying maps, geographic regions, and projections from images using machine learning
Map reading is a challenging task for computer programs. This article explores how artificial
intelligence and machine learning methods can be used to understand maps, an area we …
intelligence and machine learning methods can be used to understand maps, an area we …
[PDF][PDF] Bio-inspired based techniques for thermogram breast cancer classification
Nowadays, breast cancer considered a main cause of death for women all over the world. It
is defined as a group of cells that grow rapidly and causes the formation of a lump in breast …
is defined as a group of cells that grow rapidly and causes the formation of a lump in breast …
Deep-Wavelets and convolutional neural networks to support breast cancer diagnosis on thermography images
VA de Freitas Barbosa, A Félix da Silva… - Computer Methods in …, 2023 - Taylor & Francis
Breast cancer is the most dangerous type of cancer and one of the most lethal for women,
both in underdeveloped and central countries. Breast thermography is an emerging imaging …
both in underdeveloped and central countries. Breast thermography is an emerging imaging …
Detection of acetabulum fractures using X-Ray imaging and processing methods focused on noisy images
E Castro-Gutierrez, L Estacio-Cerquin… - 2019 Amity …, 2019 - ieeexplore.ieee.org
Acetabulum fractures are a clinical problem that primarily affects people between the ages of
21 and 30. The incidence of this type of injury has increased due to accidents involving both …
21 and 30. The incidence of this type of injury has increased due to accidents involving both …
Terrain preview detection and classification in unstructured scenes based on vision and laser fusion with deep learning
L Wang, S Li, F Yang, X Jiang, Z Chen, K Miao… - IEEE …, 2024 - ieeexplore.ieee.org
The safety and ride comfort of the emergency rescue vehicle can be improved greatly when
the prior knowledge of the terrain in front of the vehicle is used as the active suspension …
the prior knowledge of the terrain in front of the vehicle is used as the active suspension …
Novelty detection for breast cancer image classification
P Cichosz, D Jagodziński… - … , Industry, and High …, 2016 - spiedigitallibrary.org
Using classification learning algorithms for medical applications may require not only refined
model creation techniques and careful unbiased model evaluation, but also detecting the …
model creation techniques and careful unbiased model evaluation, but also detecting the …
Liquid crystal foil for the detection of breast cancer
M Biernat, M Trzyna, A Byszek… - … , Industry, and High …, 2016 - spiedigitallibrary.org
Breast cancer is the most common malignant tumor in females around the world,
representing 25.2% of all cancers in women. About 1.7 million women were diagnosed with …
representing 25.2% of all cancers in women. About 1.7 million women were diagnosed with …
Contour classification in thermographic images for detection of breast cancer
Thermographic images of breast taken by the Braster device are uploaded into web
application which uses different classification algorithms to automatically decide whether a …
application which uses different classification algorithms to automatically decide whether a …
Defect inspection of medicine vials using LBP features and SVM classifier
During the pharmaceutical process, it is inevitable that various defects emerge in the
medicine vials which may greatly affect the product quality and reduce the productive …
medicine vials which may greatly affect the product quality and reduce the productive …