Dermatological disease detection using image processing and machine learning (Record no. 237123)
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| 000 -LEADER | |
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| fixed length control field | 01357nam a2200121Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231221s9999 xx 000 0 und d |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Meenakshi, M M. |
| 245 #0 - TITLE STATEMENT | |
| Title | Dermatological disease detection using image processing and machine learning |
| Remainder of title | Natarajan, S. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | Jan-May 2019 |
| Name of publisher, distributor, etc. | PES University |
| Place of publication, distribution, etc. | Bengaluru |
| 510 ## - CITATION/REFERENCES NOTE | |
| Name of source | Dermatological Diseases are one of the biggest medical issues in 21st century due to its highly complex and expensive diagnosis with difficulties and subjectivity of human interpretation. In cases of fatal diseases like Melanoma diagnosis in early stages play a vital role in determining the probability of getting cured. We believe that the application of automated methods will help in early diagnosis especially with the set of images with variety of diagnosis. Hence, in this article we present a completely automated system of dermatological disease recognition through lesion images, a machine intervention in contrast to conventional medical personnelbased detection. Our model is designed into three phases compromising of data collection and augmentation, designing model and finally prediction. We have used multiple AI algorithms like Convolutional Neural Network and Support Vector Machine and amalgamated it with image processing tools to form a better structure, leading to hig |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Compact Disks |
| Date last seen | Total checkouts | Accession number | Price effective from | Category | Lost status | Damaged status | Withdrawn status | Home library | Current library | Entry date | Grants | Currency symbol | Conversion rate | Discount |
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| 26/01/2024 | CD7250 | 26/01/2024 | Compact Disks | Central Library | Central Library | CS/PG | RS | 1 |