Commit
·
4448dd9
1
Parent(s):
6c69302
Update app.py
Browse files
app.py
CHANGED
|
@@ -13,13 +13,10 @@ In this study, the purpose is the classification of thyroid tumors on ultrasound
|
|
| 13 |
- Malign(1)
|
| 14 |
- Benign(0)
|
| 15 |
|
| 16 |
-
|
| 17 |
Benign :
|
| 18 |
-
|
| 19 |
- 1 Normal thyroid glandle
|
| 20 |
- 2 Effectively certainly benign Simple cyst - % 0 Risk of malignancy
|
| 21 |
- 3 Very probably benigped - %0.25 Risk of malignancy
|
| 22 |
-
|
| 23 |
Malign :
|
| 24 |
- 4A Suspicious nodules; low risk of malignancy - % 6 Risk of malignancy
|
| 25 |
- 4B Suspicious nodules; high risk of malignancy One or two features of high suspicion - %69 Risk of malignancy
|
|
@@ -33,7 +30,6 @@ This study was made using HF Transformers :
|
|
| 33 |
|
| 34 |
- [ Using Keras and GradCam With MultiClasses Medium Article](https://serdarhelli.medium.com/the-basic-classification-of-thyroid-tumors-on-ultrasound-images-using-deep-learning-methods-46f812d859ea)
|
| 35 |
|
| 36 |
-
|
| 37 |
The Dataset:
|
| 38 |
[Colombia National University presented an open access database of thyroid ultrasound images.](http://cimalab.unal.edu.co/?lang=es&mod=program&id=5)
|
| 39 |
Ref : Pedraza, Lina & Vargas, Carlos & Narváez, Fabián & Durán, Oscar & Muñoz, Emma & Romero, Eduardo. (2015). An open access thyroid ultrasound-image Database. Progress in Biomedical Optics and Imaging — Proceedings of SPIE. 9287. 10.1117/12.2073532. '''
|
|
|
|
| 13 |
- Malign(1)
|
| 14 |
- Benign(0)
|
| 15 |
|
|
|
|
| 16 |
Benign :
|
|
|
|
| 17 |
- 1 Normal thyroid glandle
|
| 18 |
- 2 Effectively certainly benign Simple cyst - % 0 Risk of malignancy
|
| 19 |
- 3 Very probably benigped - %0.25 Risk of malignancy
|
|
|
|
| 20 |
Malign :
|
| 21 |
- 4A Suspicious nodules; low risk of malignancy - % 6 Risk of malignancy
|
| 22 |
- 4B Suspicious nodules; high risk of malignancy One or two features of high suspicion - %69 Risk of malignancy
|
|
|
|
| 30 |
|
| 31 |
- [ Using Keras and GradCam With MultiClasses Medium Article](https://serdarhelli.medium.com/the-basic-classification-of-thyroid-tumors-on-ultrasound-images-using-deep-learning-methods-46f812d859ea)
|
| 32 |
|
|
|
|
| 33 |
The Dataset:
|
| 34 |
[Colombia National University presented an open access database of thyroid ultrasound images.](http://cimalab.unal.edu.co/?lang=es&mod=program&id=5)
|
| 35 |
Ref : Pedraza, Lina & Vargas, Carlos & Narváez, Fabián & Durán, Oscar & Muñoz, Emma & Romero, Eduardo. (2015). An open access thyroid ultrasound-image Database. Progress in Biomedical Optics and Imaging — Proceedings of SPIE. 9287. 10.1117/12.2073532. '''
|