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Malignant

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Malignant

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Papers tagged with "Malignant"

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Vol 9, Issue 9 (September 2023) Computer Applications

PROFOUND LEARNING INTERPRETABILITY IN VISUAL MALIGNANT GROWTH DISCOVERY

Visual Malignant Growth Recognition Utilizing Profound Learning Strategies Has Shown Momentous Advancement Lately, Yielding Promising Outcomes In The Early Conclusion And Therapy Of Disease. Be That As It May, The Reception Of Profound Lear...

Vengadaramanan S, Dr. V. S. Anita Sofia
Vol 8, Issue 6 (June 2022) Pharmacology

MOUTH ULCER : A REVIEW

Oral Ulcers Are One Of The Most Prevalent Oral Mucosal Diseases. The Etiology Of Oral Mucosal Ulcers Still Has To Be Discerned As A Variety Of Precipitating Factors And Causes Have Been Implicated. Unless Associated With Some Underlying Sys...

Mr .Mahesh Kachru Hiwale, Prof. Jhadav P.T
Vol 8, Issue 6 (June 2022) Computer Science And Engineering

SKIN CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

Melanoma Is Considered To Be The Least Common Skin Cancer But It Is The Deadliest One. It Spreads To Other Body Parts In No Time And Must Be Diagnosed As Early As Possible. This Project Aims To Reduce The Death Caused By Skin Cancer. Our Ob...

Haripriya.S, Hemalatha.N, S.R.Senthil Kumar, R. Reena

SEGMENTATION AND CLASSIFICATION OF BRAIN TUMOUR USING CONVOLUTIONAL NEURAL NETWORK

In The Recent Past Computer Science Applications In Resonance Imaging (MRI) Is Applied In Numerous Clinical Researches. However, For Analyzing Tumors Without Human Intervention Is Taken Into Account As A Major Space Of Analysis As A Result...

Nallapaneni Sai Sindhu, Rudraraju Nidheesha, S.Ramya, R.Ashok
Vol 6, Issue 1 (January 2020) Computer Science

COMPUTER AIDED DIAGNOSIS OF MALIGNANT MELANOMA DETECTION USING FCM SEGMENTATION AND FEATURE EXTRACTION TECHNIQUES

This Thesis Is Mainly Used For Earlier Detection Of Human Skin Cancer. Skin Cancer Is The Most Deadly Form Of Cancer Which Destroys A Human Life. Earlier Detection Of Skin Cancer Prevents Human Life. A Skin Biopsy Is A Procedure In Which A...

Ms.P.Sridevi, Ms.V.Kavipriya, Mr.A.Venugopal

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