From: dpb on
Gaya wrote:
....

> sorry..I thought someone will reply me with their experince with a
> similar project...

Have you done literature searches, etc., ... I'd think there would be a
"veritable plethora" of what has been used for such analyses previously
widely available including how successful/unsuccessful they've
been...(spoken as an engineer, not bio-field related at all).

--
From: Gaya on
dpb <none(a)non.net> wrote in message <ht8po5$bmn$2(a)news.eternal-september.org>...
> Gaya wrote:
> ...
>
> > sorry..I thought someone will reply me with their experince with a
> > similar project...
>
> Have you done literature searches, etc., ... I'd think there would be a
> "veritable plethora" of what has been used for such analyses previously
> widely available including how successful/unsuccessful they've
> been...(spoken as an engineer, not bio-field related at all).
>
> --

thank you..:-)
From: Gaya on
"John D'Errico" <woodchips(a)rochester.rr.com> wrote in message <ht8pnh$sdq$1(a)fred.mathworks.com>...
> "Gaya " <gayaudeshani(a)yahoo.com> wrote in message <ht8p10$d3d$1(a)fred.mathworks.com>...
> > "John D'Errico" <woodchips(a)rochester.rr.com> wrote in message <ht8i1s$l50$1(a)fred.mathworks.com>...
> > > "Gaya " <gayaudeshani(a)yahoo.com> wrote in message <ht8dl7$bpn$1(a)fred.mathworks.com>...
> > > > Dear all,
> > > >
> > > > I'm currently developing a cancer detection system.
> > > > I use digital chest xray images as the input to the system. I extract 6 first order statistic texture features and 4 second order statistic features.
> > > >
> > > > Is that enought to consider these features as the input to train the neural network..?
> > >
> > > As Mark points out, this is not a matlab question. Nor can
> > > anybody answer (on any newsgroup or forum) if you will
> > > ever have ENOUGH data. The answer is that "enough" can
> > > only be determined by you, knowing your goals. The more
> > > data that you provide, the better in general will be your
> > > results.
> > >
> > > John

thank you
> >
> > Thank you
> > but sometimes people can answer by their experience..
> > And sorry I am new to this newsgroup. I use Mathlab to develop this thatz why I asked that question...
>
> Again, our experience is not even relevant. We cannot
> say if you have enough data. You will never know that
> you have enough data.
>
> The more data you have, the better your estimates.
>
> John
From: Walter Roberson on
Gaya wrote:
> "John D'Errico" <woodchips(a)rochester.rr.com> wrote in message
> <ht8i1s$l50$1(a)fred.mathworks.com>...
>> "Gaya " <gayaudeshani(a)yahoo.com> wrote in message
>> <ht8dl7$bpn$1(a)fred.mathworks.com>...
>> > Dear all,
>> > > I'm currently developing a cancer detection system.
>> > I use digital chest xray images as the input to the system. I
>> extract 6 first order statistic texture features and 4 second order
>> statistic features.
>> > > Is that enought to consider these features as the input to train
>> the neural network..?
>>
>> As Mark points out, this is not a matlab question. Nor can
>> anybody answer (on any newsgroup or forum) if you will
>> ever have ENOUGH data. The answer is that "enough" can
>> only be determined by you, knowing your goals. The more
>> data that you provide, the better in general will be your
>> results.

> Thank you but sometimes people can answer by their experience..

Our experience: neural nets are only as good as the features you train
them on, and figuring out which features to train on (without
"over-training") is a difficult task. By the time you have calculated
what to train on, you probably have a program that does not need or
benefit from neural nets.

> And sorry I am new to this newsgroup. I use Mathlab to develop this
> thatz why I asked that question...

If you drink coffee, then you are using coffee to develop the program,
so why not ask in the alt.coffee newsgroup? Most people that develop
such programs are coffee drinkers and not so many that seriously develop
such programs use Matlab, so "logically" alt.coffee would be a better
place to ask.