| Paper Abstract and Keywords |
| Presentation |
2022-07-22 16:20
Image Classification of Cancer Cells Treated with IRDAptermer
Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu (Niigata Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This work evaluates convolutional neural network (CNN)-based image classifiers for determining the effect of a cell membrane-permeable DNA aptamer molecule, IRDAptamer, on cancer cells. The purpose of this study is to automate the classification of whether DNA aptamers, which are fragments of DNA, have reached the nucleus of cancer cells from three types of images. The three types of images are phase images of cells, fluorescent images of cell nuclei, and fluorescent images of drugs. It is proposed to form three-channel images of these three types of images as multimodal information and to design a classifier for their screening by transfer learning of existing CNNs. It is expected to contribute to rapid screening in the development of future drug discovery. In this study, the authors construct CNNs for classification by various data augmentation and transfer learning of various CNNs and evaluate the effectiveness of each method by comparing their accuracies. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Visual screening / Multimodal images / CNN / VGG16 / VGG19 / ResNet50V2 / Inception V3 / Image Classification |
| Reference Info. |
ITE Tech. Rep., vol. 46, no. 20, ME2022-70, pp. 23-26, July 2022. |
| Paper # |
ME2022-70 |
| Date of Issue |
2022-07-15 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
ME |
| Conference Date |
2022-07-22 - 2022-07-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2022-07-ME |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Image Classification of Cancer Cells Treated with IRDAptermer |
| Sub Title (in English) |
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| Keyword(1) |
Visual screening |
| Keyword(2) |
Multimodal images |
| Keyword(3) |
CNN |
| Keyword(4) |
VGG16 |
| Keyword(5) |
VGG19 |
| Keyword(6) |
ResNet50V2 |
| Keyword(7) |
Inception V3 |
| Keyword(8) |
Image Classification |
| 1st Author's Name |
Rahman Rawnak Mim |
| 1st Author's Affiliation |
Niigata University (Niigata Univ.) |
| 2nd Author's Name |
Yuuka Yamagata |
| 2nd Author's Affiliation |
Niigata University (Niigata Univ.) |
| 3rd Author's Name |
Yoshiro Chuman |
| 3rd Author's Affiliation |
Niigata University (Niigata Univ.) |
| 4th Author's Name |
Shogo Muramatsu |
| 4th Author's Affiliation |
Niigata University (Niigata Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-07-22 16:20:00 |
| Presentation Time |
30 minutes |
| Registration for |
ME |
| Paper # |
ME2022-70 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.20 |
| Page |
pp.23-26 |
| #Pages |
4 |
| Date of Issue |
2022-07-15 (ME) |
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