mednet.data.segment.drionsdb¶
DRIONS-DB (training set) for Optic Disc Segmentation.
The dataset originates from data collected from 55 patients with glaucoma (23.1%) and eye hypertension (76.9%), and random selected from an eye fundus image base belonging to the Ophthalmology Service at Miguel Servet Hospital, Saragossa (Spain). It contains 110 eye fundus images with a resolution of 600 x 400. Two sets of ground-truth optic disc annotations are available. The first set is commonly used for training and testing. The second set acts as a “human” baseline.
Reference: [CRGFMdlC08]
Original resolution (height x width): 400 x 600
Configuration resolution: 416 x 608 (after padding)
Split reference: [MPTAVG16]
Protocols
expert1
(baseline) andexpert2
(human comparison):Training samples: 60
Test samples: 50
This module contains the base declaration of common data modules and raw-data loaders for this database. All configured splits inherit from this definition.
Module Attributes
Pythonic name to refer to this database. |
|
Key to search for in the configuration file for the root directory of this database. |
Classes
|
DRIONS-DB (training set) for Optic Disc Segmentation. |
A specialized raw-data-loader for the drionsdb dataset. |
- mednet.data.segment.drionsdb.DATABASE_SLUG = 'drionsdb'¶
Pythonic name to refer to this database.
- mednet.data.segment.drionsdb.CONFIGURATION_KEY_DATADIR = 'datadir.drionsdb'¶
Key to search for in the configuration file for the root directory of this database.
- class mednet.data.segment.drionsdb.RawDataLoader[source]¶
Bases:
RawDataLoader
A specialized raw-data-loader for the drionsdb dataset.
- class mednet.data.segment.drionsdb.DataModule(split_path)[source]¶
Bases:
CachingDataModule
DRIONS-DB (training set) for Optic Disc Segmentation.
- Parameters:
split_path (
Path
|Traversable
) – Path or traversable (resource) with the JSON split description to load.