[HTML][HTML] Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches
Plenty of disease types exist in world communities that can be explained by humans'
lifestyles or the economic, social, genetic, and other factors of the country of residence …
lifestyles or the economic, social, genetic, and other factors of the country of residence …
Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh
most common tumor in both men and women worldwide. The early detection of KT has …
most common tumor in both men and women worldwide. The early detection of KT has …
A decision support system for classification of normal and medical renal disease using ultrasound images: a decision support system for medical renal diseases
Early detection of medical renal disease is important as the same may lead to chronic kidney
disease which is an irreversible stage. The present work proposes an efficient decision …
disease which is an irreversible stage. The present work proposes an efficient decision …
A review on the techniques of brain tumor: Segmentation, feature extraction and classification
G Yogalakshmi, BS Rani - 2020 11th International Conference …, 2020 - ieeexplore.ieee.org
Tumor has become a thread and widely spread all over the world in today's life. In Scientific
term when body cells does not divide in proper fashion or sequence to form new cell it may …
term when body cells does not divide in proper fashion or sequence to form new cell it may …
Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN
The accurate classification of kidney tumors necessitates the utilization of various diagnostic
techniques. Within the domain of medical imaging tests, the integration of multi-modal …
techniques. Within the domain of medical imaging tests, the integration of multi-modal …
Classification of motorcyclists not wear helmet on digital image with backpropagation neural network
One of the world's leading causes of death is traffic accidents. Data from World Health
Organization (WHO) that there are 1.25 million people in the world die each year …
Organization (WHO) that there are 1.25 million people in the world die each year …
Design of Door Security System Based on Face Recognition with Arduino
Robotics technology is very useful for the lives of many people today. Almost all aspects of
his life utilize robotics technology according to the required field. The development of …
his life utilize robotics technology according to the required field. The development of …
[PDF][PDF] Automated Methods to Segment Kidneys and Detect Tumors Using CT Images
FH Mahmood, NA Mahmood, ARH Ismaeel - Iraqi Journal of Science, 2017 - iasj.net
Kidney tumors are of different types having different characteristics and also remain
challenging in the field of biomedicine. It becomes very important to detect the tumor and …
challenging in the field of biomedicine. It becomes very important to detect the tumor and …
Detection of Ship using Image Processing and Neural Network
S Sutikno, HA Wibawa… - … Electronics and Control), 2018 - telkomnika.uad.ac.id
Indonesia is one of the countries in this world that has the most outstanding fishery potential.
There are more than 3000 fish species under Indonesia's sea, yet the people are still not …
There are more than 3000 fish species under Indonesia's sea, yet the people are still not …
Haralick's texture descriptors for classification of renal ultrasound images
In the present work, the computer aided classification (CAC) system has been proposed for
renal ultrasound (US) images into normal, MRD, and Cyst image classes. The work has …
renal ultrasound (US) images into normal, MRD, and Cyst image classes. The work has …