Online diagnosis of COVID-19 from chest radiography images by using deep learning algorithms
The COVID-19 outbreak, which has a devastating impact on the health and well-being of the
global population, is a respiratory disease. It is vital to determine, isolate and treat people …
global population, is a respiratory disease. It is vital to determine, isolate and treat people …
[PDF][PDF] Biomedical Image Segmentation with Modified U-Net.
U Tatli, C Budak - Traitement du Signal, 2023 - researchgate.net
In recent years, image segmentation has become a widely researched topic. It serves as an
essential element in numerous visual applications. Image Segmentation is the process of …
essential element in numerous visual applications. Image Segmentation is the process of …
[HTML][HTML] Pancreatic cancer grading in pathological images using deep learning convolutional neural networks
Background: Pancreatic cancer is one of the deadliest forms of cancer. The cancer grades
define how aggressively the cancer will spread and give indication for doctors to make …
define how aggressively the cancer will spread and give indication for doctors to make …
A Circular Box-Based Deep Learning Model for the Identification of Signet Ring Cells from Histopathological Images
Signet ring cell (SRC) carcinoma is a particularly serious type of cancer that is a leading
cause of death all over the world. SRC carcinoma has a more deceptive onset than other …
cause of death all over the world. SRC carcinoma has a more deceptive onset than other …
Classification of the Ionospheric Disturbances Caused by Geomagnetic and Seismic Activity with K-Nearest Neighbors Algorithm
Detection of earthquake-precursor signals a few days before the earthquake day has
become an area of increasing interest. In recent years, it has been observed that the major …
become an area of increasing interest. In recent years, it has been observed that the major …
Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey
Since signet ring cells (SRCs) are associated with high peripheral metastasis rate and
dismal survival, they play an important role in determining surgical approaches and …
dismal survival, they play an important role in determining surgical approaches and …
Detection of object (weapons) with deep learning algorithms from images obtained by unmanned aerial vehicles
M Burgaz, C Budak - Dicle Üniversitesi Mühendislik Fakültesi …, 2022 - dergipark.org.tr
Today, the rapid development of Artificial Intelligence technologies is effective in the success
of deep learning algorithms in different application areas. In addition to these applications, it …
of deep learning algorithms in different application areas. In addition to these applications, it …
Performance Analysis of Various Filters for Denoising Breast Cancer Histopathology Images
Purpose Medical imaging plays a crucial role in healthcare, particularly in breast cancer
diagnosis, which remains a leading cause of cancer-related deaths in women worldwide …
diagnosis, which remains a leading cause of cancer-related deaths in women worldwide …
A Robust SLIC Based Approach for Segmentation Using Canny Edge Detector
An accurate image segmentation in noisy environment is complex and challenging. Unlike
existing state-of-the-art methods that use superpixels for successful segmentation, we …
existing state-of-the-art methods that use superpixels for successful segmentation, we …
[PDF][PDF] Pancreatic cancer grading in pathological images usin g deep learning convolutional neural networks [version 2; peer
Background: Pancreatic cancer is one of the deadliest forms of cancer. The cancer grades
define how aggressively the cancer will spread and give indication for doctors to make …
define how aggressively the cancer will spread and give indication for doctors to make …