1. DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
TITLE : BREAST CANCER CLASSIFICATION FROM ULTRASOUND IMAGES
2. ABSTRACT
29-02-2024 SOLAMALAI COLLEGE OF ENGINEERING 2
• Early diagnosis of breast cancer is the most reliable and practical approach
for managing cancer.
• Computer-aided Detection or Computer Aided Diagnosis is one of the
software technology designed to assist doctors in detecting or diagnosing
cancer and to reduce mortality via using the medical image analysis with
less time.
• In our project we implemented multicalssification in Matlab to classify the
Ultrasound Images.
• We can classify the various stages using the ultrasound images. The
beginning stage as well as the malignant stage is made to identify using the
ultrasound images.
• This technique have achieved higher accuracy rate when classified using the
Ultrasound images.
3.
4. LITERATURE SURVEY
S.NO TITLE YEAR AUTHOR TECHNOLOGY
USED
DEMERIT
1. DEEP LEARNING
FOR IMAGE-BASED
CANCER
DETECTION AND
DIAGNOSIS
2020 ZILONG C.,
JINSHAN T.,
ZIMING W.,
KAI Z.,
LING Z.,
QUINGLING S.,
DEEP
LEARNING
IMAGE DATA
SET
PRODUCE
ACCURATE
RESULT
WITH
CERTAIN
RANGES
2. BREAST CANCER
HISTOPATHOLOGY
IMAGE
CLASSIFICATION
THROUGH
ASSEMBLING
MULTIPLE
COMPACT CNNs
2017 ASWIN Y.,
VARUN B.,
CNN WORKS IN
CERTAIN
SITUATION
WITH LOW
RATED
ACCURACY
3. COLOUR TRANSFER
BETWEEN IMAGES
2018 MAYANK KUMAR M.,
LOKHANDE E.,
CAD FALSE
IMAGES ARE
CAPTURED
29-02-2024 SOLAMALAI COLLEGE OF ENGINEERING 4
