Authors :
Yusta NYIRANDIKUMANA; Dr. Musoni Wilson
Volume/Issue :
Volume 8 - 2023, Issue 2 - February
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3ZuTVxz
DOI :
https://doi.org/10.5281/zenodo.7690202
Abstract :
Kidney Tumor cancer is difficult to detect
and can be difficult for doctors to detect, the growth of
abnormal in some may lead to cancer or may get worse
in another way which can affect daily activity. the main
objective of this research titled " kidney tumor cancer
detection using Yolo deep learning algorithm “is to build
a deep learning model that will facilitate the way used to
detect the kidney tumor cancer which used to take long
to get a patient’s results and not much trusted which can
lead to serious cancer. The usual method to detect
kidney tumor cancer is to use Magnetic Resonance
Imaging scan to get images and be handed over to
doctors to study on them which used to take long time to
study on it and some decide without having much
experience, some decide based on their feelings or some
may be stressed by the work they have done and they
decide quick without being diligent on what they
currently have. this developed deep learning based
kidney tumor cancer detection and diagnosis system will
automatically detect and classify important regions on
an input biopsy image. this research will increase
accuracy in results which come from radiologist analysis
of MRI image and will also reduce time which used to
take to get result not only that but also the chance of
getting cancer from kidney tumor cancer will be reduced
for that kidney tumor cancer surgery will be right way
after passing MRI image into my kidney tumor cancer
detection using Yolo deep learning algorithm to detect if
it is kidney tumor cancer or not.many new treatments
for kidney tumor cancer have been developed, some are
currently being developed by scientists. this research will
provide kidney tumor cancer detection, diagnosis, and
treatment information that offers new hope to the lives
of kidney cancer patients. In this research, it is aimed to
detect kidney tumor cancer using Yolo deep learning
algorithm.
Kidney Tumor cancer is difficult to detect
and can be difficult for doctors to detect, the growth of
abnormal in some may lead to cancer or may get worse
in another way which can affect daily activity. the main
objective of this research titled " kidney tumor cancer
detection using Yolo deep learning algorithm “is to build
a deep learning model that will facilitate the way used to
detect the kidney tumor cancer which used to take long
to get a patient’s results and not much trusted which can
lead to serious cancer. The usual method to detect
kidney tumor cancer is to use Magnetic Resonance
Imaging scan to get images and be handed over to
doctors to study on them which used to take long time to
study on it and some decide without having much
experience, some decide based on their feelings or some
may be stressed by the work they have done and they
decide quick without being diligent on what they
currently have. this developed deep learning based
kidney tumor cancer detection and diagnosis system will
automatically detect and classify important regions on
an input biopsy image. this research will increase
accuracy in results which come from radiologist analysis
of MRI image and will also reduce time which used to
take to get result not only that but also the chance of
getting cancer from kidney tumor cancer will be reduced
for that kidney tumor cancer surgery will be right way
after passing MRI image into my kidney tumor cancer
detection using Yolo deep learning algorithm to detect if
it is kidney tumor cancer or not.many new treatments
for kidney tumor cancer have been developed, some are
currently being developed by scientists. this research will
provide kidney tumor cancer detection, diagnosis, and
treatment information that offers new hope to the lives
of kidney cancer patients. In this research, it is aimed to
detect kidney tumor cancer using Yolo deep learning
algorithm.
