A Seminor
on
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS
A THESIS
submitted
in the partial fulfillment of the requirements for
the award of the degree of
Bachelor of Technology
in
COMPUTER SCIENCE AND ENGINEERING
by
Y.V.LOKESH REDDY - 219P1A0522
Under the supervision of
Mrs.B.Varalakshmi
Assistant Professor
Department of Computer Science and Engineering
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
SREE DATTHA GROUP OF INSTITUTIONS
(Approved by AICTE New Delhi, Accredited by NAAC, Affiliate to JNTUH)
SHERIGUDA (v), IBRAHIMPATNAM (M), RANGAREDDY -501510
2024-2025
SREE DATTHA GROUP OF INSTITUTIONS
DEPARTMENT OF COMPUTER SCIENCE AND INFORMATION
TECHNOLOGY
DECLARATION
We are hereby declaring that the project report titled “DEEP LEARNING IN
MEDICAL IMAGE ANALYSIS” under the guidance of Mrs,B,Varalakshmi, Sree
Dattha Group Of Institutions, Ibrahimpatnam is submitted in partial fulfillment of the
requirement for the award of B. Tech. in Computer Science and Engineering is a record
of bonafide work carried out by us and the results embodied in this seminor have not
been reproduced or copied from any source.
The results embodied in this project report have not been submitted to any other
University or Institute for the award of any Degree or Diploma.
Name of the Students
Y.V 219P1A0522
LOKESH
SREE DATTHA GROUP OF INSTITUTIONS
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
CERTIFICATE
This is to certify that the project entitled “DEEP LEARNING IN MEDICAL IMAGE
ANALYSIS” is being submitted by Y.V.Lokesh Reddy(219P1A0522)in partial
fulfillment of the requirements for the award of B. Tech IV year, I semester in Computer
Science and Engineering to the Jawaharlal Nehru Technological University Hyderabad, is
a record of Bonafide work carried out by them under our guidance and supervision during
the academic year 2024-25.
MRS.B.Varalakshmi Dr. SK. Mahaboob Basha
SEMINOR COORDINATOR HOD
The results embodied in this thesis have not been submitted to any other University or
Institute for the award of any degree or diploma
ACKNOWLEDGEMENT
Apart from our efforts, the success of any project depends largely on the encouragement
and guidelines of many others. We take this opportunity to express our gratitude to the
people who have been instrumental in the successful completion of this seminar
We would like to express our sincere gratitude to Chairman Sri. G. Panduranga Reddy,
and Vice-Chairman Dr. GNV Vibhav Reddy for providing excellent infrastructure and a
nice atmosphere throughout this seminar. We are obliged to Dr. S. Venkata Achuta
Rao, Principal for being cooperative throughout this seminar
We are also thankful to Dr. Sk Mahaboob Basha, Head of the Department & Professor
CSE Department of Computer Science and Engineering for providing encouragement and
support for completing this seminar successfully.
We take this opportunity to express my profound gratitude and deep regard of Internal
guide Mrs.B.Varalakshmi , Assistant Professor for his exemplary guidance, monitoring
and constant encouragement throughout the seminar work. The blessing, help and
guidance given by him shall carry us a long way in the journey of life on which we are
about to embark.
The guidance and support were received from all the members of Sree Dattha Group Of
Institutions. who contributed to the completion of the Seminar. We are grateful for their
constant support and help.
Finally, we would like to take this opportunity to thank our family for their constant
encouragement, without which this assignment would not be completed. We sincerely
acknowledge and thank all those who gave support directly and indirectly in the
completion of this seminar.
ABSTRACT
The Coding Assessment Portal (CAP) is a cutting-edge, web-based platform designed to
facilitate the streamlined evaluation of programming skills in educational and
professional settings. CAP features an intuitive interface for creating and managing
customized coding tests, equipped with automated grading and real-time feedback.
Employing a scalable microservices architecture and robust security protocols, the portal
ensures efficient and secure test administration. Initial usage across varied academic and
professional groups demonstrates that CAP significantly enhances the accuracy and
efficiency of coding assessments. Future updates aim to expand language support and
integrate adaptive testing technologies.
LIST OF FIGURES
FIG NO TITLE PAGE NO.
1.1 Use Case Diagram 19
1.2 Use Case Diagram 22
LIST OF CONTENT
S.No. CONTENTS PAGE No.
1 INTRODUCTION 1
1.1 TYPES
2 LITERATURE SURVEY 10
